---
_id: '2109'
abstract:
- lang: eng
text: In multinomial classification, reduction techniques are commonly used to decompose
the original learning problem into several simpler problems. For example, by recursively
bisecting the original set of classes, so-called nested dichotomies define a set
of binary classification problems that are organized in the structure of a binary
tree. In contrast to the existing one-shot heuristics for constructing nested
dichotomies and motivated by recent work on algorithm configuration, we propose
a genetic algorithm for optimizing the structure of such dichotomies. A key component
of this approach is the proposed genetic representation that facilitates the application
of standard genetic operators, while still supporting the exchange of partial
solutions under recombination. We evaluate the approach in an extensive experimental
study, showing that it yields classifiers with superior generalization performance.
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Wever MD, Mohr F, Hüllermeier E. Ensembles of Evolved Nested Dichotomies for
Classification. In: Proceedings of the Genetic and Evolutionary Computation
Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. Kyoto, Japan: ACM;
2018. doi:10.1145/3205455.3205562'
apa: 'Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). Ensembles of Evolved
Nested Dichotomies for Classification. In Proceedings of the Genetic and Evolutionary
Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. Kyoto,
Japan: ACM. https://doi.org/10.1145/3205455.3205562'
bibtex: '@inproceedings{Wever_Mohr_Hüllermeier_2018, place={Kyoto, Japan}, title={Ensembles
of Evolved Nested Dichotomies for Classification}, DOI={10.1145/3205455.3205562},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2018, Kyoto, Japan, July 15-19, 2018}, publisher={ACM}, author={Wever, Marcel
Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2018} }'
chicago: 'Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Ensembles of
Evolved Nested Dichotomies for Classification.” In Proceedings of the Genetic
and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19,
2018. Kyoto, Japan: ACM, 2018. https://doi.org/10.1145/3205455.3205562.'
ieee: M. D. Wever, F. Mohr, and E. Hüllermeier, “Ensembles of Evolved Nested Dichotomies
for Classification,” in Proceedings of the Genetic and Evolutionary Computation
Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, Kyoto, Japan, 2018.
mla: Wever, Marcel Dominik, et al. “Ensembles of Evolved Nested Dichotomies for
Classification.” Proceedings of the Genetic and Evolutionary Computation Conference,
GECCO 2018, Kyoto, Japan, July 15-19, 2018, ACM, 2018, doi:10.1145/3205455.3205562.
short: 'M.D. Wever, F. Mohr, E. Hüllermeier, in: Proceedings of the Genetic and
Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018,
ACM, Kyoto, Japan, 2018.'
conference:
end_date: 2018-07-19
location: Kyoto, Japan
name: GECCO 2018
start_date: 2018-07-15
date_created: 2018-03-31T13:51:23Z
date_updated: 2022-01-06T06:54:45Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.1145/3205455.3205562
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T14:33:54Z
date_updated: 2018-11-02T14:33:54Z
file_id: '5275'
file_name: p561-wever.pdf
file_size: 875404
relation: main_file
success: 1
file_date_updated: 2018-11-02T14:33:54Z
has_accepted_license: '1'
keyword:
- Classification
- Hierarchical Decomposition
- Indirect Encoding
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/citation.cfm?doid=3205455.3205562
oa: '1'
place: Kyoto, Japan
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO
2018, Kyoto, Japan, July 15-19, 2018
publication_status: published
publisher: ACM
status: public
title: Ensembles of Evolved Nested Dichotomies for Classification
type: conference
user_id: '33176'
year: '2018'
...
---
_id: '17713'
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Wever MD, Mohr F, Hüllermeier E. Automated Multi-Label Classification based
on ML-Plan. Published online 2018.
apa: Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). Automated Multi-Label
Classification based on ML-Plan. Arxiv.
bibtex: '@article{Wever_Mohr_Hüllermeier_2018, title={Automated Multi-Label Classification
based on ML-Plan}, publisher={Arxiv}, author={Wever, Marcel Dominik and Mohr,
Felix and Hüllermeier, Eyke}, year={2018} }'
chicago: Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automated Multi-Label
Classification Based on ML-Plan.” Arxiv, 2018.
ieee: M. D. Wever, F. Mohr, and E. Hüllermeier, “Automated Multi-Label Classification
based on ML-Plan.” Arxiv, 2018.
mla: Wever, Marcel Dominik, et al. Automated Multi-Label Classification Based
on ML-Plan. Arxiv, 2018.
short: M.D. Wever, F. Mohr, E. Hüllermeier, (2018).
date_created: 2020-08-07T11:38:10Z
date_updated: 2022-01-06T06:53:17Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/1811.04060.pdf
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publisher: Arxiv
status: public
title: Automated Multi-Label Classification based on ML-Plan
type: preprint
user_id: '5786'
year: '2018'
...
---
_id: '17714'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Mohr F, Wever MD, Hüllermeier E. Automated machine learning service composition.
Published online 2018.
apa: Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). Automated machine
learning service composition.
bibtex: '@article{Mohr_Wever_Hüllermeier_2018, title={Automated machine learning
service composition}, author={Mohr, Felix and Wever, Marcel Dominik and Hüllermeier,
Eyke}, year={2018} }'
chicago: Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “Automated Machine
Learning Service Composition,” 2018.
ieee: F. Mohr, M. D. Wever, and E. Hüllermeier, “Automated machine learning service
composition.” 2018.
mla: Mohr, Felix, et al. Automated Machine Learning Service Composition.
2018.
short: F. Mohr, M.D. Wever, E. Hüllermeier, (2018).
date_created: 2020-08-07T11:40:13Z
date_updated: 2022-01-06T06:53:17Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/1809.00486.pdf
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
status: public
title: Automated machine learning service composition
type: preprint
user_id: '5786'
year: '2018'
...
---
_id: '5693'
author:
- first_name: Helena
full_name: Graf, Helena
id: '52640'
last_name: Graf
citation:
ama: Graf H. Ranking of Classification Algorithms in AutoML. Universität
Paderborn; 2018.
apa: Graf, H. (2018). Ranking of Classification Algorithms in AutoML. Universität
Paderborn.
bibtex: '@book{Graf_2018, title={Ranking of Classification Algorithms in AutoML},
publisher={Universität Paderborn}, author={Graf, Helena}, year={2018} }'
chicago: Graf, Helena. Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
ieee: H. Graf, Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
mla: Graf, Helena. Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
short: H. Graf, Ranking of Classification Algorithms in AutoML, Universität Paderborn,
2018.
date_created: 2018-11-15T08:06:41Z
date_updated: 2022-01-06T07:02:35Z
department:
- _id: '355'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Ranking of Classification Algorithms in AutoML
type: bachelorsthesis
user_id: '33176'
year: '2018'
...
---
_id: '5936'
author:
- first_name: Manuel
full_name: Scheibl, Manuel
last_name: Scheibl
citation:
ama: Scheibl M. Learning about Learning Curves from Dataset Properties. Universität
Paderborn; 2018.
apa: Scheibl, M. (2018). Learning about learning curves from dataset properties.
Universität Paderborn.
bibtex: '@book{Scheibl_2018, title={Learning about learning curves from dataset
properties}, publisher={Universität Paderborn}, author={Scheibl, Manuel}, year={2018}
}'
chicago: Scheibl, Manuel. Learning about Learning Curves from Dataset Properties.
Universität Paderborn, 2018.
ieee: M. Scheibl, Learning about learning curves from dataset properties.
Universität Paderborn, 2018.
mla: Scheibl, Manuel. Learning about Learning Curves from Dataset Properties.
Universität Paderborn, 2018.
short: M. Scheibl, Learning about Learning Curves from Dataset Properties, Universität
Paderborn, 2018.
date_created: 2018-11-28T10:29:53Z
date_updated: 2022-01-06T07:02:47Z
department:
- _id: '355'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Learning about learning curves from dataset properties
type: bachelorsthesis
user_id: '477'
year: '2018'
...
---
_id: '6423'
author:
- first_name: Dirk
full_name: Schäfer, Dirk
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Preference-Based Reinforcement Learning Using Dyad
Ranking. In: Discovery Science. Cham: Springer International Publishing;
2018:161-175. doi:10.1007/978-3-030-01771-2_11'
apa: 'Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement
Learning Using Dyad Ranking. In Discovery Science (pp. 161–175). Cham:
Springer International Publishing. https://doi.org/10.1007/978-3-030-01771-2_11'
bibtex: '@inbook{Schäfer_Hüllermeier_2018, place={Cham}, title={Preference-Based
Reinforcement Learning Using Dyad Ranking}, DOI={10.1007/978-3-030-01771-2_11},
booktitle={Discovery Science}, publisher={Springer International Publishing},
author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2018}, pages={161–175} }'
chicago: 'Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” In Discovery Science, 161–75. Cham: Springer International
Publishing, 2018. https://doi.org/10.1007/978-3-030-01771-2_11.'
ieee: 'D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using
Dyad Ranking,” in Discovery Science, Cham: Springer International Publishing,
2018, pp. 161–175.'
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” Discovery Science, Springer International Publishing,
2018, pp. 161–75, doi:10.1007/978-3-030-01771-2_11.
short: 'D. Schäfer, E. Hüllermeier, in: Discovery Science, Springer International
Publishing, Cham, 2018, pp. 161–175.'
date_created: 2018-12-20T15:52:03Z
date_updated: 2022-01-06T07:03:04Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.1007/978-3-030-01771-2_11
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2019-01-11T11:03:50Z
date_updated: 2019-01-11T11:03:50Z
file_id: '6623'
file_name: Schäfer-Hüllermeier2018_Chapter_Preference-BasedReinforcementL.pdf
file_size: 458972
relation: main_file
success: 1
file_date_updated: 2019-01-11T11:03:50Z
has_accepted_license: '1'
language:
- iso: eng
page: 161-175
place: Cham
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication: Discovery Science
publication_identifier:
isbn:
- '9783030017705'
- '9783030017712'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: Preference-Based Reinforcement Learning Using Dyad Ranking
type: book_chapter
user_id: '49109'
year: '2018'
...
---
_id: '10591'
alternative_title:
- Manifesto from Dagstuhl Perspectives Workshop 16151
citation:
ama: Abiteboul S, Arenas M, Barceló P, et al., eds. Research Directions for Principles
of Data Management. Vol 7.; 2018:1-29.
apa: Abiteboul, S., Arenas, M., Barceló, P., Bienvenu, M., Calvanese, D., David,
C., … Yi, K. (Eds.). (2018). Research Directions for Principles of Data Management
(Vol. 7, pp. 1–29).
bibtex: '@book{Abiteboul_Arenas_Barceló_Bienvenu_Calvanese_David_Hull_Hüllermeier_Kimelfeld_Libkin_et
al._2018, title={Research Directions for Principles of Data Management}, volume={7},
number={1}, year={2018}, pages={1–29} }'
chicago: Abiteboul, S., M. Arenas, P. Barceló, M. Bienvenu, D. Calvanese, C. David,
R. Hull, et al., eds. Research Directions for Principles of Data Management.
Vol. 7, 2018.
ieee: S. Abiteboul et al., Eds., Research Directions for Principles of
Data Management, vol. 7, no. 1. 2018, pp. 1–29.
mla: Abiteboul, S., et al., editors. Research Directions for Principles of Data
Management. Vol. 7, no. 1, 2018, pp. 1–29.
short: S. Abiteboul, M. Arenas, P. Barceló, M. Bienvenu, D. Calvanese, C. David,
R. Hull, E. Hüllermeier, B. Kimelfeld, L. Libkin, W. Martens, T. Milo, F. Murlak,
F. Neven, M. Ortiz, T. Schwentick, J. Stoyanovich, J. Su, D. Suciu, V. Vianu,
K. Yi, eds., Research Directions for Principles of Data Management, 2018.
date_created: 2019-07-09T15:58:12Z
date_updated: 2022-01-06T06:50:45Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
editor:
- first_name: S.
full_name: Abiteboul, S.
last_name: Abiteboul
- first_name: M.
full_name: Arenas, M.
last_name: Arenas
- first_name: P.
full_name: Barceló, P.
last_name: Barceló
- first_name: M.
full_name: Bienvenu, M.
last_name: Bienvenu
- first_name: D.
full_name: Calvanese, D.
last_name: Calvanese
- first_name: C.
full_name: David, C.
last_name: David
- first_name: R.
full_name: Hull, R.
last_name: Hull
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: B.
full_name: Kimelfeld, B.
last_name: Kimelfeld
- first_name: L.
full_name: Libkin, L.
last_name: Libkin
- first_name: W.
full_name: Martens, W.
last_name: Martens
- first_name: T.
full_name: Milo, T.
last_name: Milo
- first_name: F.
full_name: Murlak, F.
last_name: Murlak
- first_name: F.
full_name: Neven, F.
last_name: Neven
- first_name: M.
full_name: Ortiz, M.
last_name: Ortiz
- first_name: T.
full_name: Schwentick, T.
last_name: Schwentick
- first_name: J.
full_name: Stoyanovich, J.
last_name: Stoyanovich
- first_name: J.
full_name: Su, J.
last_name: Su
- first_name: D.
full_name: Suciu, D.
last_name: Suciu
- first_name: V.
full_name: Vianu, V.
last_name: Vianu
- first_name: K.
full_name: Yi, K.
last_name: Yi
intvolume: ' 7'
issue: '1'
language:
- iso: eng
page: 1-29
status: public
title: Research Directions for Principles of Data Management
type: conference_editor
user_id: '49109'
volume: 7
year: '2018'
...
---
_id: '10783'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Couso I, Hüllermeier E. Statistical Inference for Incomplete Ranking Data:
A Comparison of two likelihood-based estimators. In: Mostaghim S, Nürnberger A,
Borgelt C, eds. Frontiers in Computational Intelligence. Springer; 2018:31-46.'
apa: 'Couso, I., & Hüllermeier, E. (2018). Statistical Inference for Incomplete
Ranking Data: A Comparison of two likelihood-based estimators. In S. Mostaghim,
A. Nürnberger, & C. Borgelt (Eds.), Frontiers in Computational Intelligence
(pp. 31–46). Springer.'
bibtex: '@inbook{Couso_Hüllermeier_2018, title={Statistical Inference for Incomplete
Ranking Data: A Comparison of two likelihood-based estimators}, booktitle={Frontiers
in Computational Intelligence}, publisher={Springer}, author={Couso, Ines and
Hüllermeier, Eyke}, editor={Mostaghim, Sanaz and Nürnberger, Andreas and Borgelt,
ChristianEditors}, year={2018}, pages={31–46} }'
chicago: 'Couso, Ines, and Eyke Hüllermeier. “Statistical Inference for Incomplete
Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In Frontiers
in Computational Intelligence, edited by Sanaz Mostaghim, Andreas Nürnberger,
and Christian Borgelt, 31–46. Springer, 2018.'
ieee: 'I. Couso and E. Hüllermeier, “Statistical Inference for Incomplete Ranking
Data: A Comparison of two likelihood-based estimators,” in Frontiers in Computational
Intelligence, S. Mostaghim, A. Nürnberger, and C. Borgelt, Eds. Springer,
2018, pp. 31–46.'
mla: 'Couso, Ines, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking
Data: A Comparison of Two Likelihood-Based Estimators.” Frontiers in Computational
Intelligence, edited by Sanaz Mostaghim et al., Springer, 2018, pp. 31–46.'
short: 'I. Couso, E. Hüllermeier, in: S. Mostaghim, A. Nürnberger, C. Borgelt (Eds.),
Frontiers in Computational Intelligence, Springer, 2018, pp. 31–46.'
date_created: 2019-07-10T15:39:00Z
date_updated: 2022-01-06T06:50:50Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
editor:
- first_name: Sanaz
full_name: Mostaghim, Sanaz
last_name: Mostaghim
- first_name: Andreas
full_name: Nürnberger, Andreas
last_name: Nürnberger
- first_name: Christian
full_name: Borgelt, Christian
last_name: Borgelt
language:
- iso: eng
page: 31-46
publication: Frontiers in Computational Intelligence
publisher: Springer
status: public
title: 'Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based
estimators'
type: book_chapter
user_id: '49109'
year: '2018'
...
---
_id: '16038'
author:
- first_name: D.
full_name: Schäfer, D.
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Schäfer D, Hüllermeier E. Dyad ranking using Plackett-Luce models based on
joint feature representations. Machine Learning. 2018;107(5):903-941.
apa: Schäfer, D., & Hüllermeier, E. (2018). Dyad ranking using Plackett-Luce
models based on joint feature representations. Machine Learning, 107(5),
903–941.
bibtex: '@article{Schäfer_Hüllermeier_2018, title={Dyad ranking using Plackett-Luce
models based on joint feature representations}, volume={107}, number={5}, journal={Machine
Learning}, author={Schäfer, D. and Hüllermeier, Eyke}, year={2018}, pages={903–941}
}'
chicago: 'Schäfer, D., and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models
Based on Joint Feature Representations.” Machine Learning 107, no. 5 (2018):
903–41.'
ieee: D. Schäfer and E. Hüllermeier, “Dyad ranking using Plackett-Luce models based
on joint feature representations,” Machine Learning, vol. 107, no. 5, pp.
903–941, 2018.
mla: Schäfer, D., and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models
Based on Joint Feature Representations.” Machine Learning, vol. 107, no.
5, 2018, pp. 903–41.
short: D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
date_created: 2020-02-24T15:59:19Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
intvolume: ' 107'
issue: '5'
language:
- iso: eng
page: 903-941
publication: Machine Learning
status: public
title: Dyad ranking using Plackett-Luce models based on joint feature representations
type: journal_article
user_id: '49109'
volume: 107
year: '2018'
...
---
_id: '10145'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E. Learning to Rank Based on Analogical Reasoning.
In: Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI). ; 2018:2951-2958.'
apa: Ahmadi Fahandar, M., & Hüllermeier, E. (2018). Learning to Rank Based on
Analogical Reasoning. In Proc. 32 nd AAAI Conference on Artificial Intelligence
(AAAI) (pp. 2951–2958).
bibtex: '@inproceedings{Ahmadi Fahandar_Hüllermeier_2018, title={Learning to Rank
Based on Analogical Reasoning}, booktitle={Proc. 32 nd AAAI Conference on Artificial
Intelligence (AAAI)}, author={Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke},
year={2018}, pages={2951–2958} }'
chicago: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based
on Analogical Reasoning.” In Proc. 32 Nd AAAI Conference on Artificial Intelligence
(AAAI), 2951–58, 2018.
ieee: M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank Based on Analogical
Reasoning,” in Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI),
2018, pp. 2951–2958.
mla: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical
Reasoning.” Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI),
2018, pp. 2951–58.
short: 'M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. 32 Nd AAAI Conference on Artificial
Intelligence (AAAI), 2018, pp. 2951–2958.'
date_created: 2019-06-07T08:49:33Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
language:
- iso: eng
page: 2951-2958
publication: Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI)
status: public
title: Learning to Rank Based on Analogical Reasoning
type: conference
user_id: '49109'
year: '2018'
...
---
_id: '10148'
author:
- first_name: Adil
full_name: El Mesaoudi-Paul, Adil
last_name: El Mesaoudi-Paul
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
citation:
ama: 'El Mesaoudi-Paul A, Hüllermeier E, Busa-Fekete R. Ranking Distributions based
on Noisy Sorting. In: Proc. 35th Int. Conference on Machine Learning (ICML).
Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn; 2018:3469-3477.'
apa: El Mesaoudi-Paul, A., Hüllermeier, E., & Busa-Fekete, R. (2018). Ranking
Distributions based on Noisy Sorting. Proc. 35th Int. Conference on Machine
Learning (ICML), 3469–3477.
bibtex: '@inproceedings{El Mesaoudi-Paul_Hüllermeier_Busa-Fekete_2018, series={Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn}, title={Ranking Distributions based on
Noisy Sorting}, booktitle={Proc. 35th Int. Conference on Machine Learning (ICML)},
publisher={Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}, author={El
Mesaoudi-Paul, Adil and Hüllermeier, Eyke and Busa-Fekete, Robert}, year={2018},
pages={3469–3477}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts,
Paderborn} }'
chicago: El Mesaoudi-Paul, Adil, Eyke Hüllermeier, and Robert Busa-Fekete. “Ranking
Distributions Based on Noisy Sorting.” In Proc. 35th Int. Conference on Machine
Learning (ICML), 3469–77. Verlagsschriftenreihe Des Heinz Nixdorf Instituts,
Paderborn. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2018.
ieee: A. El Mesaoudi-Paul, E. Hüllermeier, and R. Busa-Fekete, “Ranking Distributions
based on Noisy Sorting,” in Proc. 35th Int. Conference on Machine Learning
(ICML), 2018, pp. 3469–3477.
mla: El Mesaoudi-Paul, Adil, et al. “Ranking Distributions Based on Noisy Sorting.”
Proc. 35th Int. Conference on Machine Learning (ICML), Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2018, pp. 3469–77.
short: 'A. El Mesaoudi-Paul, E. Hüllermeier, R. Busa-Fekete, in: Proc. 35th Int.
Conference on Machine Learning (ICML), Verlagsschriftenreihe des Heinz Nixdorf
Instituts, Paderborn, 2018, pp. 3469–3477.'
date_created: 2019-06-07T09:02:37Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
language:
- iso: eng
page: 3469-3477
publication: Proc. 35th Int. Conference on Machine Learning (ICML)
publisher: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
status: public
title: Ranking Distributions based on Noisy Sorting
type: conference
user_id: '5786'
year: '2018'
...
---
_id: '10149'
author:
- first_name: M.
full_name: Hesse, M.
last_name: Hesse
- first_name: J.
full_name: Timmermann, J.
last_name: Timmermann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
last_name: Trächtler
citation:
ama: 'Hesse M, Timmermann J, Hüllermeier E, Trächtler A. A Reinforcement Learning
Strategy for the Swing-Up of the Double Pendulum on a Cart. In: Proc. 4th Int.
Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected
Systems in Products and Production, Procedia Manufacturing 24. ; 2018:15-20.'
apa: 'Hesse, M., Timmermann, J., Hüllermeier, E., & Trächtler, A. (2018). A
Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.
Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible
and Connected Systems in Products and Production, Procedia Manufacturing 24,
15–20.'
bibtex: '@inproceedings{Hesse_Timmermann_Hüllermeier_Trächtler_2018, title={A Reinforcement
Learning Strategy for the Swing-Up of the Double Pendulum on a Cart}, booktitle={Proc.
4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and
Connected Systems in Products and Production, Procedia Manufacturing 24}, author={Hesse,
M. and Timmermann, J. and Hüllermeier, Eyke and Trächtler, Ansgar}, year={2018},
pages={15–20} }'
chicago: 'Hesse, M., J. Timmermann, Eyke Hüllermeier, and Ansgar Trächtler. “A Reinforcement
Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” In Proc.
4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and
Connected Systems in Products and Production, Procedia Manufacturing 24, 15–20,
2018.'
ieee: 'M. Hesse, J. Timmermann, E. Hüllermeier, and A. Trächtler, “A Reinforcement
Learning Strategy for the Swing-Up of the Double Pendulum on a Cart,” in Proc.
4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and
Connected Systems in Products and Production, Procedia Manufacturing 24, 2018,
pp. 15–20.'
mla: 'Hesse, M., et al. “A Reinforcement Learning Strategy for the Swing-Up of the
Double Pendulum on a Cart.” Proc. 4th Int. Conference on System-Integrated
Intelligence: Intelligent, Flexible and Connected Systems in Products and Production,
Procedia Manufacturing 24, 2018, pp. 15–20.'
short: 'M. Hesse, J. Timmermann, E. Hüllermeier, A. Trächtler, in: Proc. 4th Int.
Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected
Systems in Products and Production, Procedia Manufacturing 24, 2018, pp. 15–20.'
date_created: 2019-06-07T09:10:51Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
language:
- iso: eng
page: 15-20
publication: 'Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent,
Flexible and Connected Systems in Products and Production, Procedia Manufacturing
24'
status: public
title: A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on
a Cart
type: conference
user_id: '5786'
year: '2018'
...
---
_id: '10152'
author:
- first_name: E.Loza
full_name: Mencia, E.Loza
last_name: Mencia
- first_name: J.
full_name: Fürnkranz, J.
last_name: Fürnkranz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Rapp, M.
last_name: Rapp
citation:
ama: 'Mencia EL, Fürnkranz J, Hüllermeier E, Rapp M. Learning interpretable rules
for multi-label classification. In: Jair Escalante H, Escalera S, Guyon I, et
al., eds. Explainable and Interpretable Models in Computer Vision and Machine
Learning. The Springer Series on Challenges in Machine Learning. Springer;
2018:81-113.'
apa: Mencia, E. L., Fürnkranz, J., Hüllermeier, E., & Rapp, M. (2018). Learning
interpretable rules for multi-label classification. In H. Jair Escalante, S. Escalera,
I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, & M. A. J. van Gerven (Eds.),
Explainable and Interpretable Models in Computer Vision and Machine Learning
(pp. 81–113). Springer.
bibtex: '@inbook{Mencia_Fürnkranz_Hüllermeier_Rapp_2018, series={The Springer Series
on Challenges in Machine Learning}, title={Learning interpretable rules for multi-label
classification}, booktitle={Explainable and Interpretable Models in Computer Vision
and Machine Learning}, publisher={Springer}, author={Mencia, E.Loza and Fürnkranz,
J. and Hüllermeier, Eyke and Rapp, M.}, editor={Jair Escalante, H. and Escalera,
S. and Guyon, I. and Baro, X. and Güclüütürk, Y. and Güclü, U. and van Gerven,
M.A.J.Editors}, year={2018}, pages={81–113}, collection={The Springer Series on
Challenges in Machine Learning} }'
chicago: Mencia, E.Loza, J. Fürnkranz, Eyke Hüllermeier, and M. Rapp. “Learning
Interpretable Rules for Multi-Label Classification.” In Explainable and Interpretable
Models in Computer Vision and Machine Learning, edited by H. Jair Escalante,
S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, and M.A.J. van Gerven,
81–113. The Springer Series on Challenges in Machine Learning. Springer, 2018.
ieee: E. L. Mencia, J. Fürnkranz, E. Hüllermeier, and M. Rapp, “Learning interpretable
rules for multi-label classification,” in Explainable and Interpretable Models
in Computer Vision and Machine Learning, H. Jair Escalante, S. Escalera, I.
Guyon, X. Baro, Y. Güclüütürk, U. Güclü, and M. A. J. van Gerven, Eds. Springer,
2018, pp. 81–113.
mla: Mencia, E. Loz., et al. “Learning Interpretable Rules for Multi-Label Classification.”
Explainable and Interpretable Models in Computer Vision and Machine Learning,
edited by H. Jair Escalante et al., Springer, 2018, pp. 81–113.
short: 'E.L. Mencia, J. Fürnkranz, E. Hüllermeier, M. Rapp, in: H. Jair Escalante,
S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, M.A.J. van Gerven (Eds.),
Explainable and Interpretable Models in Computer Vision and Machine Learning,
Springer, 2018, pp. 81–113.'
date_created: 2019-06-07T09:17:56Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
editor:
- first_name: H.
full_name: Jair Escalante, H.
last_name: Jair Escalante
- first_name: S.
full_name: Escalera, S.
last_name: Escalera
- first_name: I.
full_name: Guyon, I.
last_name: Guyon
- first_name: X.
full_name: Baro, X.
last_name: Baro
- first_name: Y.
full_name: Güclüütürk, Y.
last_name: Güclüütürk
- first_name: U.
full_name: Güclü, U.
last_name: Güclü
- first_name: M.A.J.
full_name: van Gerven, M.A.J.
last_name: van Gerven
language:
- iso: eng
page: 81-113
publication: Explainable and Interpretable Models in Computer Vision and Machine Learning
publisher: Springer
series_title: The Springer Series on Challenges in Machine Learning
status: public
title: Learning interpretable rules for multi-label classification
type: book_chapter
user_id: '49109'
year: '2018'
...
---
_id: '10181'
author:
- first_name: Vu-Linh
full_name: Nguyen, Vu-Linh
last_name: Nguyen
- first_name: Sebastian
full_name: Destercke, Sebastian
last_name: Destercke
- first_name: M.-H.
full_name: Masson, M.-H.
last_name: Masson
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Nguyen V-L, Destercke S, Masson M-H, Hüllermeier E. Reliable Multi-class Classification
based on Pairwise Epistemic and Aleatoric Uncertainty. In: Proc. 27th Int.Joint
Conference on Artificial Intelligence (IJCAI). ; 2018:5089-5095.'
apa: Nguyen, V.-L., Destercke, S., Masson, M.-H., & Hüllermeier, E. (2018).
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric
Uncertainty. Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI),
5089–5095.
bibtex: '@inproceedings{Nguyen_Destercke_Masson_Hüllermeier_2018, title={Reliable
Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty},
booktitle={Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI)},
author={Nguyen, Vu-Linh and Destercke, Sebastian and Masson, M.-H. and Hüllermeier,
Eyke}, year={2018}, pages={5089–5095} }'
chicago: Nguyen, Vu-Linh, Sebastian Destercke, M.-H. Masson, and Eyke Hüllermeier.
“Reliable Multi-Class Classification Based on Pairwise Epistemic and Aleatoric
Uncertainty.” In Proc. 27th Int.Joint Conference on Artificial Intelligence
(IJCAI), 5089–95, 2018.
ieee: V.-L. Nguyen, S. Destercke, M.-H. Masson, and E. Hüllermeier, “Reliable Multi-class
Classification based on Pairwise Epistemic and Aleatoric Uncertainty,” in Proc.
27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.
mla: Nguyen, Vu-Linh, et al. “Reliable Multi-Class Classification Based on Pairwise
Epistemic and Aleatoric Uncertainty.” Proc. 27th Int.Joint Conference on Artificial
Intelligence (IJCAI), 2018, pp. 5089–95.
short: 'V.-L. Nguyen, S. Destercke, M.-H. Masson, E. Hüllermeier, in: Proc. 27th
Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.'
date_created: 2019-06-07T12:31:20Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
language:
- iso: eng
page: 5089-5095
publication: Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI)
status: public
title: Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric
Uncertainty
type: conference
user_id: '5786'
year: '2018'
...
---
_id: '10184'
author:
- first_name: Dirk
full_name: Schäfer, Dirk
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Preference-Based Reinforcement Learning Using Dyad
Ranking. In: Proc. 21st Int. Conference on Discovery Science (DS). ; 2018:161-175.'
apa: Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement Learning
Using Dyad Ranking. Proc. 21st Int. Conference on Discovery Science (DS),
161–175.
bibtex: '@inproceedings{Schäfer_Hüllermeier_2018, title={Preference-Based Reinforcement
Learning Using Dyad Ranking}, booktitle={Proc. 21st Int. Conference on Discovery
Science (DS)}, author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2018}, pages={161–175}
}'
chicago: Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” In Proc. 21st Int. Conference on Discovery Science (DS),
161–75, 2018.
ieee: D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using
Dyad Ranking,” in Proc. 21st Int. Conference on Discovery Science (DS),
2018, pp. 161–175.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” Proc. 21st Int. Conference on Discovery Science (DS),
2018, pp. 161–75.
short: 'D. Schäfer, E. Hüllermeier, in: Proc. 21st Int. Conference on Discovery
Science (DS), 2018, pp. 161–175.'
date_created: 2019-06-07T12:33:58Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
language:
- iso: eng
page: 161-175
publication: Proc. 21st Int. Conference on Discovery Science (DS)
status: public
title: Preference-Based Reinforcement Learning Using Dyad Ranking
type: conference
user_id: '5786'
year: '2018'
...
---
_id: '10276'
author:
- first_name: Dirk
full_name: Schäfer, Dirk
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Schäfer D, Hüllermeier E. Dyad Ranking Using Plackett-Luce Models based on
joint feature representations. Machine Learning. 2018;107(5):903-941.
apa: Schäfer, D., & Hüllermeier, E. (2018). Dyad Ranking Using Plackett-Luce
Models based on joint feature representations. Machine Learning, 107(5),
903–941.
bibtex: '@article{Schäfer_Hüllermeier_2018, title={Dyad Ranking Using Plackett-Luce
Models based on joint feature representations}, volume={107}, number={5}, journal={Machine
Learning}, author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2018}, pages={903–941}
}'
chicago: 'Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce
Models Based on Joint Feature Representations.” Machine Learning 107, no.
5 (2018): 903–41.'
ieee: D. Schäfer and E. Hüllermeier, “Dyad Ranking Using Plackett-Luce Models based
on joint feature representations,” Machine Learning, vol. 107, no. 5, pp.
903–941, 2018.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models
Based on Joint Feature Representations.” Machine Learning, vol. 107, no.
5, 2018, pp. 903–41.
short: D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
date_created: 2019-06-19T14:58:10Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
- _id: '26'
intvolume: ' 107'
issue: '5'
language:
- iso: eng
page: 903-941
publication: Machine Learning
status: public
title: Dyad Ranking Using Plackett-Luce Models based on joint feature representations
type: journal_article
user_id: '49109'
volume: 107
year: '2018'
...
---
_id: '1379'
author:
- first_name: Nina
full_name: Seemann, Nina
id: '65408'
last_name: Seemann
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Marie-Luis
full_name: Merten, Marie-Luis
last_name: Merten
- first_name: Doris
full_name: Tophinke, Doris
id: '16277'
last_name: Tophinke
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Seemann N, Geierhos M, Merten M-L, Tophinke D, Wever MD, Hüllermeier E. Supporting
the Cognitive Process in Annotation Tasks. In: Eckart K, Schlechtweg D, eds. Postersession
Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft.
; 2018.'
apa: Seemann, N., Geierhos, M., Merten, M.-L., Tophinke, D., Wever, M. D., &
Hüllermeier, E. (2018). Supporting the Cognitive Process in Annotation Tasks.
In K. Eckart & D. Schlechtweg (Eds.), Postersession Computerlinguistik
der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft.
bibtex: '@inproceedings{Seemann_Geierhos_Merten_Tophinke_Wever_Hüllermeier_2018,
title={Supporting the Cognitive Process in Annotation Tasks}, booktitle={Postersession
Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft},
author={Seemann, Nina and Geierhos, Michaela and Merten, Marie-Luis and Tophinke,
Doris and Wever, Marcel Dominik and Hüllermeier, Eyke}, editor={Eckart, Kerstin and
Schlechtweg, Dominik }, year={2018} }'
chicago: Seemann, Nina, Michaela Geierhos, Marie-Luis Merten, Doris Tophinke, Marcel
Dominik Wever, and Eyke Hüllermeier. “Supporting the Cognitive Process in Annotation
Tasks.” In Postersession Computerlinguistik der 40. Jahrestagung der Deutschen
Gesellschaft für Sprachwissenschaft, edited by Kerstin Eckart and Dominik Schlechtweg,
2018.
ieee: N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M. D. Wever, and E. Hüllermeier,
“Supporting the Cognitive Process in Annotation Tasks,” in Postersession Computerlinguistik
der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, Stuttgart,
Germany, 2018.
mla: Seemann, Nina, et al. “Supporting the Cognitive Process in Annotation Tasks.”
Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft
für Sprachwissenschaft, edited by Kerstin Eckart and Dominik Schlechtweg,
2018.
short: 'N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M.D. Wever, E. Hüllermeier,
in: K. Eckart, D. Schlechtweg (Eds.), Postersession Computerlinguistik der 40.
Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 2018.'
conference:
end_date: 2018-03-09
location: Stuttgart, Germany
name: Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft
für Sprachwissenschaft
start_date: 2018-03-07
date_created: 2018-03-19T15:23:25Z
date_updated: 2023-01-09T14:56:56Z
ddc:
- '410'
department:
- _id: '36'
- _id: '1'
- _id: '579'
- _id: '115'
- _id: '355'
- _id: '115'
editor:
- first_name: 'Kerstin '
full_name: 'Eckart, Kerstin '
last_name: Eckart
- first_name: 'Dominik '
full_name: 'Schlechtweg, Dominik '
last_name: Schlechtweg
file:
- access_level: closed
content_type: application/pdf
creator: wever
date_created: 2018-11-06T15:32:38Z
date_updated: 2018-11-06T15:32:38Z
file_id: '5389'
file_name: 2018_dgfs-cl-poster-seemann-etal.pdf
file_size: 158928
relation: main_file
success: 1
file_date_updated: 2018-11-06T15:32:38Z
has_accepted_license: '1'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.dgfs2018.uni-stuttgart.de/programm/postersession/programm-cl-postersession/2018_dgfs-cl-poster-seemann-etal.pdf
oa: '1'
project:
- _id: '39'
name: InterGramm
publication: Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft
für Sprachwissenschaft
publication_status: published
quality_controlled: '1'
status: public
title: Supporting the Cognitive Process in Annotation Tasks
type: conference_abstract
user_id: '16277'
year: '2018'
...
---
_id: '24152'
author:
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Shalabh
full_name: Bhatnagar, Shalabh
last_name: Bhatnagar
citation:
ama: Ramaswamy A, Bhatnagar S. Analysis of gradient descent methods with nondiminishing
bounded errors. IEEE Transactions on Automatic Control. 2017;63(5):1465-1471.
apa: Ramaswamy, A., & Bhatnagar, S. (2017). Analysis of gradient descent methods
with nondiminishing bounded errors. IEEE Transactions on Automatic Control,
63(5), 1465–1471.
bibtex: '@article{Ramaswamy_Bhatnagar_2017, title={Analysis of gradient descent
methods with nondiminishing bounded errors}, volume={63}, number={5}, journal={IEEE
Transactions on Automatic Control}, publisher={IEEE}, author={Ramaswamy, Arunselvan
and Bhatnagar, Shalabh}, year={2017}, pages={1465–1471} }'
chicago: 'Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Analysis of Gradient Descent
Methods with Nondiminishing Bounded Errors.” IEEE Transactions on Automatic
Control 63, no. 5 (2017): 1465–71.'
ieee: A. Ramaswamy and S. Bhatnagar, “Analysis of gradient descent methods with
nondiminishing bounded errors,” IEEE Transactions on Automatic Control,
vol. 63, no. 5, pp. 1465–1471, 2017.
mla: Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Analysis of Gradient Descent
Methods with Nondiminishing Bounded Errors.” IEEE Transactions on Automatic
Control, vol. 63, no. 5, IEEE, 2017, pp. 1465–71.
short: A. Ramaswamy, S. Bhatnagar, IEEE Transactions on Automatic Control 63 (2017)
1465–1471.
date_created: 2021-09-10T10:19:40Z
date_updated: 2022-01-06T06:56:08Z
department:
- _id: '355'
extern: '1'
intvolume: ' 63'
issue: '5'
language:
- iso: eng
page: 1465-1471
publication: IEEE Transactions on Automatic Control
publisher: IEEE
status: public
title: Analysis of gradient descent methods with nondiminishing bounded errors
type: journal_article
user_id: '66937'
volume: 63
year: '2017'
...
---
_id: '24153'
author:
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Shalabh
full_name: Bhatnagar, Shalabh
last_name: Bhatnagar
citation:
ama: Ramaswamy A, Bhatnagar S. A generalization of the Borkar-Meyn theorem for stochastic
recursive inclusions. Mathematics of Operations Research. 2017;42(3):648-661.
apa: Ramaswamy, A., & Bhatnagar, S. (2017). A generalization of the Borkar-Meyn
theorem for stochastic recursive inclusions. Mathematics of Operations Research,
42(3), 648–661.
bibtex: '@article{Ramaswamy_Bhatnagar_2017, title={A generalization of the Borkar-Meyn
theorem for stochastic recursive inclusions}, volume={42}, number={3}, journal={Mathematics
of Operations Research}, publisher={INFORMS}, author={Ramaswamy, Arunselvan and
Bhatnagar, Shalabh}, year={2017}, pages={648–661} }'
chicago: 'Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “A Generalization of the
Borkar-Meyn Theorem for Stochastic Recursive Inclusions.” Mathematics of Operations
Research 42, no. 3 (2017): 648–61.'
ieee: A. Ramaswamy and S. Bhatnagar, “A generalization of the Borkar-Meyn theorem
for stochastic recursive inclusions,” Mathematics of Operations Research,
vol. 42, no. 3, pp. 648–661, 2017.
mla: Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “A Generalization of the Borkar-Meyn
Theorem for Stochastic Recursive Inclusions.” Mathematics of Operations Research,
vol. 42, no. 3, INFORMS, 2017, pp. 648–61.
short: A. Ramaswamy, S. Bhatnagar, Mathematics of Operations Research 42 (2017)
648–661.
date_created: 2021-09-10T10:21:02Z
date_updated: 2022-01-06T06:56:08Z
department:
- _id: '355'
extern: '1'
intvolume: ' 42'
issue: '3'
language:
- iso: eng
page: 648-661
publication: Mathematics of Operations Research
publisher: INFORMS
status: public
title: A generalization of the Borkar-Meyn theorem for stochastic recursive inclusions
type: journal_article
user_id: '66937'
volume: 42
year: '2017'
...
---
_id: '3325'
author:
- first_name: Vitalik
full_name: Melnikov, Vitalik
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Melnikov V, Hüllermeier E. Optimizing the Structure of Nested Dichotomies:
A Comparison of Two Heuristics. In: Proceedings. 27. Workshop Computational
Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific Publishing;
2017. doi:10.5445/KSP/1000074341'
apa: 'Melnikov, V., & Hüllermeier, E. (2017). Optimizing the Structure of Nested
Dichotomies: A Comparison of Two Heuristics. In Proceedings. 27. Workshop Computational
Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific Publishing.
https://doi.org/10.5445/KSP/1000074341'
bibtex: '@inproceedings{Melnikov_Hüllermeier_2017, title={Optimizing the Structure
of Nested Dichotomies: A Comparison of Two Heuristics}, DOI={10.5445/KSP/1000074341},
booktitle={Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23.
- 24. November 2017}, publisher={KIT Scientific Publishing}, author={Melnikov,
Vitalik and Hüllermeier, Eyke}, year={2017} }'
chicago: 'Melnikov, Vitalik, and Eyke Hüllermeier. “Optimizing the Structure of
Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings. 27. Workshop
Computational Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific
Publishing, 2017. https://doi.org/10.5445/KSP/1000074341.'
ieee: 'V. Melnikov and E. Hüllermeier, “Optimizing the Structure of Nested Dichotomies:
A Comparison of Two Heuristics,” in Proceedings. 27. Workshop Computational
Intelligence, Dortmund, 23. - 24. November 2017, 2017.'
mla: 'Melnikov, Vitalik, and Eyke Hüllermeier. “Optimizing the Structure of Nested
Dichotomies: A Comparison of Two Heuristics.” Proceedings. 27. Workshop Computational
Intelligence, Dortmund, 23. - 24. November 2017, KIT Scientific Publishing,
2017, doi:10.5445/KSP/1000074341.'
short: 'V. Melnikov, E. Hüllermeier, in: Proceedings. 27. Workshop Computational
Intelligence, Dortmund, 23. - 24. November 2017, KIT Scientific Publishing, 2017.'
date_created: 2018-06-25T08:14:49Z
date_updated: 2022-01-06T06:59:10Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.5445/KSP/1000074341
file:
- access_level: closed
content_type: application/pdf
creator: melnikov
date_created: 2018-11-30T09:47:59Z
date_updated: 2018-11-30T09:47:59Z
file_id: '5987'
file_name: main.pdf
file_size: 1829552
relation: main_file
success: 1
file_date_updated: 2018-11-30T09:47:59Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '11'
name: SFB 901 - Subproject B3
- _id: '3'
name: SFB 901 - Project Area B
- _id: '1'
name: SFB 901
publication: Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. -
24. November 2017
publisher: KIT Scientific Publishing
status: public
title: 'Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics'
type: conference
user_id: '15504'
year: '2017'
...