---
_id: '457'
abstract:
- lang: eng
text: Automatically composing service-based software solutionsis still a challenging
task. Functional as well as nonfunctionalproperties have to be considered in order
to satisfyindividual user requests. Regarding non-functional properties,the composition
process can be modeled as optimization problemand solved accordingly. Functional
properties, in turn, can bedescribed by means of a formal specification language.
Statespacebased planning approaches can then be applied to solvethe underlying
composition problem. However, depending on theexpressiveness of the applied formalism
and the completenessof the functional descriptions, formally equivalent services
maystill differ with respect to their implemented functionality. As aconsequence,
the most appropriate solution for a desired functionalitycan hardly be determined
without considering additionalinformation. In this paper, we demonstrate how to
overcome thislack of information by means of Reinforcement Learning. Inorder to
resolve ambiguity, we expand state-space based servicecomposition by a recommendation
mechanism that supportsdecision-making beyond formal specifications. The recommendationmechanism
adjusts its recommendation strategy basedon feedback from previous composition
runs. Image processingserves as case study. Experimental results show the benefit
of ourproposed solution.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: 'Bernd '
full_name: 'Kleinjohann, Bernd '
last_name: Kleinjohann
citation:
ama: 'Jungmann A, Mohr F, Kleinjohann B. Applying Reinforcement Learning for Resolving
Ambiguity in Service Composition. In: Proceedings of the 7th International
Conference on Service Oriented Computing and Applications (SOCA). ; 2014:105-112.
doi:10.1109/SOCA.2014.48'
apa: Jungmann, A., Mohr, F., & Kleinjohann, B. (2014). Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition. In Proceedings of
the 7th International Conference on Service Oriented Computing and Applications
(SOCA) (pp. 105–112). https://doi.org/10.1109/SOCA.2014.48
bibtex: '@inproceedings{Jungmann_Mohr_Kleinjohann_2014, title={Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition}, DOI={10.1109/SOCA.2014.48},
booktitle={Proceedings of the 7th International Conference on Service Oriented
Computing and Applications (SOCA)}, author={Jungmann, Alexander and Mohr, Felix
and Kleinjohann, Bernd }, year={2014}, pages={105–112} }'
chicago: Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition.” In Proceedings of
the 7th International Conference on Service Oriented Computing and Applications
(SOCA), 105–12, 2014. https://doi.org/10.1109/SOCA.2014.48.
ieee: A. Jungmann, F. Mohr, and B. Kleinjohann, “Applying Reinforcement Learning
for Resolving Ambiguity in Service Composition,” in Proceedings of the 7th
International Conference on Service Oriented Computing and Applications (SOCA),
2014, pp. 105–112.
mla: Jungmann, Alexander, et al. “Applying Reinforcement Learning for Resolving
Ambiguity in Service Composition.” Proceedings of the 7th International Conference
on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–12, doi:10.1109/SOCA.2014.48.
short: 'A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 7th International
Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112.'
date_created: 2017-10-17T12:42:21Z
date_updated: 2022-01-06T07:01:12Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SOCA.2014.48
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-16T11:22:26Z
date_updated: 2018-03-16T11:22:26Z
file_id: '1339'
file_name: 457-SOCA2014-Jungmann-Mohr.pdf
file_size: 1324374
relation: main_file
success: 1
file_date_updated: 2018-03-16T11:22:26Z
has_accepted_license: '1'
language:
- iso: eng
page: 105-112
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 7th International Conference on Service Oriented Computing
and Applications (SOCA)
status: public
title: Applying Reinforcement Learning for Resolving Ambiguity in Service Composition
type: conference
user_id: '477'
year: '2014'
...
---
_id: '428'
abstract:
- lang: eng
text: Services are self-contained software components that can be used platform
independent and that aim at maximizing software reuse. A basic concern in service
oriented architectures is to measure the reusability of services. One of the most
important qualities is the functional reusability, which indicates how relevant
the task is that a service solves. Current metrics for functional reusability
of software, however, either require source code analysis or have very little
explanatory power. This paper gives a formally described vision statement for
the estimation of functional reusability of services and sketches an exemplary
reusability metric that is based on the service descriptions.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: 'Mohr F. Estimating Functional Reusability of Services. In: Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC).
LNCS. ; 2014:411-418.'
apa: Mohr, F. (2014). Estimating Functional Reusability of Services. In Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC)
(pp. 411–418).
bibtex: '@inproceedings{Mohr_2014, series={LNCS}, title={Estimating Functional Reusability
of Services}, booktitle={Proceedings of the 12th International Conference on Service
Oriented Computing (ICSOC)}, author={Mohr, Felix}, year={2014}, pages={411–418},
collection={LNCS} }'
chicago: Mohr, Felix. “Estimating Functional Reusability of Services.” In Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
411–18. LNCS, 2014.
ieee: F. Mohr, “Estimating Functional Reusability of Services,” in Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
2014, pp. 411–418.
mla: Mohr, Felix. “Estimating Functional Reusability of Services.” Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
2014, pp. 411–18.
short: 'F. Mohr, in: Proceedings of the 12th International Conference on Service
Oriented Computing (ICSOC), 2014, pp. 411–418.'
date_created: 2017-10-17T12:42:15Z
date_updated: 2022-01-06T07:00:47Z
ddc:
- '040'
department:
- _id: '355'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-16T11:32:02Z
date_updated: 2018-03-16T11:32:02Z
file_id: '1357'
file_name: 428-ICSOC14.pdf
file_size: 200063
relation: main_file
success: 1
file_date_updated: 2018-03-16T11:32:02Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007%2F978-3-662-45391-9_31
page: 411-418
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 12th International Conference on Service Oriented
Computing (ICSOC)
series_title: LNCS
status: public
title: Estimating Functional Reusability of Services
type: conference
user_id: '477'
year: '2014'
...
---
_id: '16046'
author:
- first_name: M.
full_name: Agarwal, M.
last_name: Agarwal
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Agarwal M, Fallah Tehrani A, Hüllermeier E. Preference-based learning of ideal
solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision
Analysis. 2014;22(3-4).
apa: Agarwal, M., Fallah Tehrani, A., & Hüllermeier, E. (2014). Preference-based
learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria
Decision Analysis, 22(3–4).
bibtex: '@article{Agarwal_Fallah Tehrani_Hüllermeier_2014, title={Preference-based
learning of ideal solutions in TOPSIS-like decision models}, volume={22}, number={3–4},
journal={Journal of Multi-Criteria Decision Analysis}, author={Agarwal, M. and
Fallah Tehrani, A. and Hüllermeier, Eyke}, year={2014} }'
chicago: Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based
Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria
Decision Analysis 22, no. 3–4 (2014).
ieee: M. Agarwal, A. Fallah Tehrani, and E. Hüllermeier, “Preference-based learning
of ideal solutions in TOPSIS-like decision models,” Journal of Multi-Criteria
Decision Analysis, vol. 22, no. 3–4, 2014.
mla: Agarwal, M., et al. “Preference-Based Learning of Ideal Solutions in TOPSIS-like
Decision Models.” Journal of Multi-Criteria Decision Analysis, vol. 22,
no. 3–4, 2014.
short: M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria
Decision Analysis 22 (2014).
date_created: 2020-02-24T16:12:27Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 22'
issue: 3-4
language:
- iso: eng
publication: Journal of Multi-Criteria Decision Analysis
status: public
title: Preference-based learning of ideal solutions in TOPSIS-like decision models
type: journal_article
user_id: '49109'
volume: 22
year: '2014'
...
---
_id: '16060'
author:
- first_name: T.
full_name: Krotzky, T.
last_name: Krotzky
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
citation:
ama: Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended graph-based models for
enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational
Biology and Bioinformatics. 2014;11(5):878-890.
apa: Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended graph-based
models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational
Biology and Bioinformatics, 11(5), 878–890.
bibtex: '@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended graph-based
models for enhanced similarity search in Cabase}, volume={11}, number={5}, journal={IEEE/ACM
Transactions of Computational Biology and Bioinformatics}, author={Krotzky, T.
and Fober, T. and Hüllermeier, Eyke and Klebe, G.}, year={2014}, pages={878–890}
}'
chicago: 'Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based
Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of
Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.'
ieee: T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended graph-based
models for enhanced similarity search in Cabase,” IEEE/ACM Transactions of
Computational Biology and Bioinformatics, vol. 11, no. 5, pp. 878–890, 2014.
mla: Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search
in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics,
vol. 11, no. 5, 2014, pp. 878–90.
short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of
Computational Biology and Bioinformatics 11 (2014) 878–890.
date_created: 2020-02-24T16:34:16Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 11'
issue: '5'
language:
- iso: eng
page: 878-890
publication: IEEE/ACM Transactions of Computational Biology and Bioinformatics
status: public
title: Extended graph-based models for enhanced similarity search in Cabase
type: journal_article
user_id: '49109'
volume: 11
year: '2014'
...
---
_id: '16064'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization. International Journal of Approximate
Reasoning. 2014;55(7):1519-1534.'
apa: 'Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data
disambiguation through generalized loss minimization. International Journal
of Approximate Reasoning, 55(7), 1519–1534.'
bibtex: '@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization}, volume={55}, number={7},
journal={International Journal of Approximate Reasoning}, author={Hüllermeier,
Eyke}, year={2014}, pages={1519–1534} }'
chicago: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data
Disambiguation through Generalized Loss Minimization.” International Journal
of Approximate Reasoning 55, no. 7 (2014): 1519–34.'
ieee: 'E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization,” International Journal of Approximate
Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.'
mla: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation
through Generalized Loss Minimization.” International Journal of Approximate
Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.'
short: E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014)
1519–1534.
date_created: 2020-02-24T16:38:22Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 55'
issue: '7'
language:
- iso: eng
page: 1519-1534
publication: International Journal of Approximate Reasoning
status: public
title: 'Learning from imprecise and fuzzy observations: Data disambiguation through
generalized loss minimization'
type: journal_article
user_id: '49109'
volume: 55
year: '2014'
...
---
_id: '16069'
author:
- first_name: Sascha
full_name: Henzgen, Sascha
last_name: Henzgen
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based
systems. Evolving Systems. 2014;5:175-191.
apa: Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of
evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191.
bibtex: '@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving
fuzzy-rule-based systems}, volume={5}, journal={Evolving Systems}, author={Henzgen,
Sascha and Strickert, M. and Hüllermeier, Eyke}, year={2014}, pages={175–191}
}'
chicago: 'Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of
Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.'
ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based
systems,” Evolving Systems, vol. 5, pp. 175–191, 2014.
mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.”
Evolving Systems, vol. 5, 2014, pp. 175–91.
short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
date_created: 2020-02-24T16:45:06Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 5'
language:
- iso: eng
page: 175-191
publication: Evolving Systems
status: public
title: Visualization of evolving fuzzy-rule-based systems
type: journal_article
user_id: '49109'
volume: 5
year: '2014'
...
---
_id: '16077'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: B.
full_name: Szörenyi, B.
last_name: Szörenyi
- first_name: P.
full_name: Weng, P.
last_name: Weng
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Szörenyi B, Weng P, Cheng W, Hüllermeier E. Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm. Machine Learning. 2014;97(3):327-351.'
apa: 'Busa-Fekete, R., Szörenyi, B., Weng, P., Cheng, W., & Hüllermeier, E.
(2014). Preference-based reinforcement learning: evolutionary direct policy search
using a preference-based racing algorithm. Machine Learning, 97(3),
327–351.'
bibtex: '@article{Busa-Fekete_Szörenyi_Weng_Cheng_Hüllermeier_2014, title={Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm.}, volume={97}, number={3}, journal={Machine Learning}, author={Busa-Fekete,
Robert and Szörenyi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014},
pages={327–351} }'
chicago: 'Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier.
“Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using
a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014):
327–51.'
ieee: 'R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm.,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.'
mla: 'Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary
Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning,
vol. 97, no. 3, 2014, pp. 327–51.'
short: R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning
97 (2014) 327–351.
date_created: 2020-02-25T15:33:07Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 97'
issue: '3'
language:
- iso: eng
page: 327-351
publication: Machine Learning
status: public
title: 'Preference-based reinforcement learning: evolutionary direct policy search
using a preference-based racing algorithm.'
type: journal_article
user_id: '49109'
volume: 97
year: '2014'
...
---
_id: '16078'
author:
- first_name: G.
full_name: Krempl, G.
last_name: Krempl
- first_name: I.
full_name: Zliobaite, I.
last_name: Zliobaite
- first_name: D.
full_name: Brzezinski, D.
last_name: Brzezinski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Last, M.
last_name: Last
- first_name: V.
full_name: Lemaire, V.
last_name: Lemaire
- first_name: T.
full_name: Noack, T.
last_name: Noack
- first_name: A.
full_name: Shaker, A.
last_name: Shaker
- first_name: S.
full_name: Sievi, S.
last_name: Sievi
- first_name: M.
full_name: Spiliopoulou, M.
last_name: Spiliopoulou
- first_name: J.
full_name: Stefanowski, J.
last_name: Stefanowski
citation:
ama: Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream
mining research. SIGKDD Explorations. 2014;16(1):1-10.
apa: Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire,
V., … Stefanowski, J. (2014). Open challenges for data stream mining research.
SIGKDD Explorations, 16(1), 1–10.
bibtex: '@article{Krempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et
al._2014, title={Open challenges for data stream mining research}, volume={16},
number={1}, journal={SIGKDD Explorations}, author={Krempl, G. and Zliobaite, I.
and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack,
T. and Shaker, A. and Sievi, S. and Spiliopoulou, M. and et al.}, year={2014},
pages={1–10} }'
chicago: 'Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V.
Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations 16, no. 1 (2014): 1–10.'
ieee: G. Krempl et al., “Open challenges for data stream mining research,”
SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
mla: Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations, vol. 16, no. 1, 2014, pp. 1–10.
short: G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire,
T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations
16 (2014) 1–10.
date_created: 2020-02-25T15:39:01Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 16'
issue: '1'
language:
- iso: eng
page: 1-10
publication: SIGKDD Explorations
status: public
title: Open challenges for data stream mining research
type: journal_article
user_id: '49109'
volume: 16
year: '2014'
...
---
_id: '16079'
author:
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: K.
full_name: Bunte, K.
last_name: Bunte
- first_name: F.M.
full_name: Schleif, F.M.
last_name: Schleif
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding
of pairwise score data. Neurocomputing. 2014;141:97-109.
apa: Strickert, M., Bunte, K., Schleif, F. M., & Hüllermeier, E. (2014). Correlation-based
embedding of pairwise score data. Neurocomputing, 141, 97–109.
bibtex: '@article{Strickert_Bunte_Schleif_Hüllermeier_2014, title={Correlation-based
embedding of pairwise score data}, volume={141}, journal={Neurocomputing}, author={Strickert,
M. and Bunte, K. and Schleif, F.M. and Hüllermeier, Eyke}, year={2014}, pages={97–109}
}'
chicago: 'Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based
Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.'
ieee: M. Strickert, K. Bunte, F. M. Schleif, and E. Hüllermeier, “Correlation-based
embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109,
2014.
mla: Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.”
Neurocomputing, vol. 141, 2014, pp. 97–109.
short: M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141
(2014) 97–109.
date_created: 2020-02-25T15:41:32Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 141'
language:
- iso: eng
page: 97-109
publication: Neurocomputing
status: public
title: Correlation-based embedding of pairwise score data
type: journal_article
user_id: '49109'
volume: 141
year: '2014'
...
---
_id: '16080'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal
events in dynamically changing environments. International Journal of Applied
Mathematics and Computer Science. 2014;24(1):199-212.'
apa: 'Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments. International
Journal of Applied Mathematics and Computer Science, 24(1), 199–212.'
bibtex: '@article{Shaker_Hüllermeier_2014, title={Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments}, volume={24},
number={1}, journal={International Journal of Applied Mathematics and Computer
Science}, author={Shaker, Ammar and Hüllermeier, Eyke}, year={2014}, pages={199–212}
}'
chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams:
Analyzing Temporal Events in Dynamically Changing Environments.” International
Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.'
ieee: 'A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing
temporal events in dynamically changing environments,” International Journal
of Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212,
2014.'
mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing
Temporal Events in Dynamically Changing Environments.” International Journal
of Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.'
short: A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and
Computer Science 24 (2014) 199–212.
date_created: 2020-02-25T15:44:54Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 24'
issue: '1'
language:
- iso: eng
page: 199-212
publication: International Journal of Applied Mathematics and Computer Science
status: public
title: 'Survival analysis on data streams: Analyzing temporal events in dynamically
changing environments'
type: journal_article
user_id: '49109'
volume: 24
year: '2014'
...
---
_id: '16082'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: S.
full_name: Bösner, S.
last_name: Bösner
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: J.
full_name: Haasenritter, J.
last_name: Haasenritter
- first_name: O.
full_name: Hirsch, O.
last_name: Hirsch
- first_name: N.
full_name: Donner-Banzhoff, N.
last_name: Donner-Banzhoff
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning
classifiers that distinguish aleatoric and epistemic uncertainty. Information
Sciences. 2014;255:16-29.'
apa: 'Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff,
N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers
that distinguish aleatoric and epistemic uncertainty. Information Sciences,
255, 16–29.'
bibtex: '@article{Senge_Bösner_Dembczynski_Haasenritter_Hirsch_Donner-Banzhoff_Hüllermeier_2014,
title={Reliable classification: Learning classifiers that distinguish aleatoric
and epistemic uncertainty}, volume={255}, journal={Information Sciences}, author={Senge,
Robin and Bösner, S. and Dembczynski, K. and Haasenritter, J. and Hirsch, O. and
Donner-Banzhoff, N. and Hüllermeier, Eyke}, year={2014}, pages={16–29} }'
chicago: 'Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N.
Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers
That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences
255 (2014): 16–29.'
ieee: 'R. Senge et al., “Reliable classification: Learning classifiers that
distinguish aleatoric and epistemic uncertainty,” Information Sciences,
vol. 255, pp. 16–29, 2014.'
mla: 'Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish
Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014,
pp. 16–29.'
short: R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff,
E. Hüllermeier, Information Sciences 255 (2014) 16–29.
date_created: 2020-02-25T15:59:56Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 255'
language:
- iso: eng
page: 16-29
publication: Information Sciences
status: public
title: 'Reliable classification: Learning classifiers that distinguish aleatoric and
epistemic uncertainty'
type: journal_article
user_id: '49109'
volume: 255
year: '2014'
...
---
_id: '16083'
author:
- first_name: N.
full_name: Donner-Banzhoff, N.
last_name: Donner-Banzhoff
- first_name: J.
full_name: Haasenritter, J.
last_name: Haasenritter
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: A.
full_name: Viniol, A.
last_name: Viniol
- first_name: S.
full_name: Bösner, S.
last_name: Bösner
- first_name: A.
full_name: Becker, A.
last_name: Becker
citation:
ama: Donner-Banzhoff N, Haasenritter J, Hüllermeier E, Viniol A, Bösner S, Becker
A. The comprehensive diagnostic study is suggested as a design to model the diagnostic
process. Journal of Clinical Epidemiology. 2014;2(67):124-132.
apa: Donner-Banzhoff, N., Haasenritter, J., Hüllermeier, E., Viniol, A., Bösner,
S., & Becker, A. (2014). The comprehensive diagnostic study is suggested as
a design to model the diagnostic process. Journal of Clinical Epidemiology,
2(67), 124–132.
bibtex: '@article{Donner-Banzhoff_Haasenritter_Hüllermeier_Viniol_Bösner_Becker_2014,
title={The comprehensive diagnostic study is suggested as a design to model the
diagnostic process}, volume={2}, number={67}, journal={Journal of Clinical Epidemiology},
author={Donner-Banzhoff, N. and Haasenritter, J. and Hüllermeier, Eyke and Viniol,
A. and Bösner, S. and Becker, A.}, year={2014}, pages={124–132} }'
chicago: 'Donner-Banzhoff, N., J. Haasenritter, Eyke Hüllermeier, A. Viniol, S.
Bösner, and A. Becker. “The Comprehensive Diagnostic Study Is Suggested as a Design
to Model the Diagnostic Process.” Journal of Clinical Epidemiology 2, no.
67 (2014): 124–32.'
ieee: N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner,
and A. Becker, “The comprehensive diagnostic study is suggested as a design to
model the diagnostic process,” Journal of Clinical Epidemiology, vol. 2,
no. 67, pp. 124–132, 2014.
mla: Donner-Banzhoff, N., et al. “The Comprehensive Diagnostic Study Is Suggested
as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology,
vol. 2, no. 67, 2014, pp. 124–32.
short: N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner,
A. Becker, Journal of Clinical Epidemiology 2 (2014) 124–132.
date_created: 2020-02-25T16:04:17Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 2'
issue: '67'
language:
- iso: eng
page: 124-132
publication: Journal of Clinical Epidemiology
status: public
title: The comprehensive diagnostic study is suggested as a design to model the diagnostic
process
type: journal_article
user_id: '49109'
volume: 2
year: '2014'
...
---
_id: '10247'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: B.
full_name: Szörényi, B.
last_name: Szörényi
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Szörényi B, Hüllermeier E. PAC Rank Elicitation through Adaptive
Sampling of Stochastic Pairwise Preferences. In: Proceedings AAAI 2014, Quebec,
Canada. ; 2014:1701-1707.'
apa: Busa-Fekete, R., Szörényi, B., & Hüllermeier, E. (2014). PAC Rank Elicitation
through Adaptive Sampling of Stochastic Pairwise Preferences. In Proceedings
AAAI 2014, Quebec, Canada (pp. 1701–1707).
bibtex: '@inproceedings{Busa-Fekete_Szörényi_Hüllermeier_2014, title={PAC Rank Elicitation
through Adaptive Sampling of Stochastic Pairwise Preferences}, booktitle={Proceedings
AAAI 2014, Quebec, Canada}, author={Busa-Fekete, Robert and Szörényi, B. and Hüllermeier,
Eyke}, year={2014}, pages={1701–1707} }'
chicago: Busa-Fekete, Robert, B. Szörényi, and Eyke Hüllermeier. “PAC Rank Elicitation
through Adaptive Sampling of Stochastic Pairwise Preferences.” In Proceedings
AAAI 2014, Quebec, Canada, 1701–7, 2014.
ieee: R. Busa-Fekete, B. Szörényi, and E. Hüllermeier, “PAC Rank Elicitation through
Adaptive Sampling of Stochastic Pairwise Preferences,” in Proceedings AAAI
2014, Quebec, Canada, 2014, pp. 1701–1707.
mla: Busa-Fekete, Robert, et al. “PAC Rank Elicitation through Adaptive Sampling
of Stochastic Pairwise Preferences.” Proceedings AAAI 2014, Quebec, Canada,
2014, pp. 1701–07.
short: 'R. Busa-Fekete, B. Szörényi, E. Hüllermeier, in: Proceedings AAAI 2014,
Quebec, Canada, 2014, pp. 1701–1707.'
date_created: 2019-06-14T14:09:02Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1701-1707
publication: Proceedings AAAI 2014, Quebec, Canada
status: public
title: PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10248'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Hüllermeier E. A Survey of Preference-Based Online Learning
with Bandit Algorithms. In: Proceedings Int. Conf. on Algorithmic Learning
Theory (ALT), Bled, Slovenia. ; 2014:18-39.'
apa: Busa-Fekete, R., & Hüllermeier, E. (2014). A Survey of Preference-Based
Online Learning with Bandit Algorithms. In Proceedings Int. Conf. on Algorithmic
Learning Theory (ALT), Bled, Slovenia (pp. 18–39).
bibtex: '@inproceedings{Busa-Fekete_Hüllermeier_2014, title={A Survey of Preference-Based
Online Learning with Bandit Algorithms}, booktitle={Proceedings Int. Conf. on
Algorithmic Learning Theory (ALT), Bled, Slovenia}, author={Busa-Fekete, Robert
and Hüllermeier, Eyke}, year={2014}, pages={18–39} }'
chicago: Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based
Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic
Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.
ieee: R. Busa-Fekete and E. Hüllermeier, “A Survey of Preference-Based Online Learning
with Bandit Algorithms,” in Proceedings Int. Conf. on Algorithmic Learning
Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
mla: Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online
Learning with Bandit Algorithms.” Proceedings Int. Conf. on Algorithmic Learning
Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
short: 'R. Busa-Fekete, E. Hüllermeier, in: Proceedings Int. Conf. on Algorithmic
Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.'
date_created: 2019-06-14T14:12:51Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 18-39
publication: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia
status: public
title: A Survey of Preference-Based Online Learning with Bandit Algorithms
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10249'
author:
- first_name: Sascha
full_name: Henzgen, Sascha
last_name: Henzgen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Henzgen S, Hüllermeier E. Mining Rank Data. In: Proceedings Discovery Science,
Bled,Slovenia . ; 2014:123-134.'
apa: Henzgen, S., & Hüllermeier, E. (2014). Mining Rank Data. In Proceedings
Discovery Science, Bled,Slovenia (pp. 123–134).
bibtex: '@inproceedings{Henzgen_Hüllermeier_2014, title={Mining Rank Data}, booktitle={Proceedings
Discovery Science, Bled,Slovenia }, author={Henzgen, Sascha and Hüllermeier, Eyke},
year={2014}, pages={123–134} }'
chicago: Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings
Discovery Science, Bled,Slovenia , 123–34, 2014.
ieee: S. Henzgen and E. Hüllermeier, “Mining Rank Data,” in Proceedings Discovery
Science, Bled,Slovenia , 2014, pp. 123–134.
mla: Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” Proceedings Discovery
Science, Bled,Slovenia , 2014, pp. 123–34.
short: 'S. Henzgen, E. Hüllermeier, in: Proceedings Discovery Science, Bled,Slovenia
, 2014, pp. 123–134.'
date_created: 2019-06-14T14:25:10Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 123-134
publication: 'Proceedings Discovery Science, Bled,Slovenia '
status: public
title: Mining Rank Data
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10250'
author:
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Fallah Tehrani A, Strickert M, Hüllermeier E. The Choquet kernel for monotone
data. In: Proceedings ESANN , Bruges, Belgium. ; 2014.'
apa: Fallah Tehrani, A., Strickert, M., & Hüllermeier, E. (2014). The Choquet
kernel for monotone data. In Proceedings ESANN , Bruges, Belgium.
bibtex: '@inproceedings{Fallah Tehrani_Strickert_Hüllermeier_2014, title={The Choquet
kernel for monotone data}, booktitle={Proceedings ESANN , Bruges, Belgium}, author={Fallah
Tehrani, A. and Strickert, M. and Hüllermeier, Eyke}, year={2014} }'
chicago: Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel
for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.
ieee: A. Fallah Tehrani, M. Strickert, and E. Hüllermeier, “The Choquet kernel for
monotone data,” in Proceedings ESANN , Bruges, Belgium, 2014.
mla: Fallah Tehrani, A., et al. “The Choquet Kernel for Monotone Data.” Proceedings
ESANN , Bruges, Belgium, 2014.
short: 'A. Fallah Tehrani, M. Strickert, E. Hüllermeier, in: Proceedings ESANN ,
Bruges, Belgium, 2014.'
date_created: 2019-06-14T14:30:58Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: Proceedings ESANN , Bruges, Belgium
status: public
title: The Choquet kernel for monotone data
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10251'
author:
- first_name: A.
full_name: Abdel-Aziz, A.
last_name: Abdel-Aziz
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Abdel-Aziz A, Strickert M, Hüllermeier E. Learning Solution Similarity in
Preference-Based CBR. In: Proceedings Int. Conf. Case-Based Reasoning (ICCBR),
Cork, Ireland. ; 2014:17-31.'
apa: Abdel-Aziz, A., Strickert, M., & Hüllermeier, E. (2014). Learning Solution
Similarity in Preference-Based CBR. In Proceedings Int. Conf. Case-Based Reasoning
(ICCBR), Cork, Ireland (pp. 17–31).
bibtex: '@inproceedings{Abdel-Aziz_Strickert_Hüllermeier_2014, title={Learning Solution
Similarity in Preference-Based CBR}, booktitle={Proceedings Int. Conf. Case-Based
Reasoning (ICCBR), Cork, Ireland}, author={Abdel-Aziz, A. and Strickert, M. and
Hüllermeier, Eyke}, year={2014}, pages={17–31} }'
chicago: Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution
Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning
(ICCBR), Cork, Ireland, 17–31, 2014.
ieee: A. Abdel-Aziz, M. Strickert, and E. Hüllermeier, “Learning Solution Similarity
in Preference-Based CBR,” in Proceedings Int. Conf. Case-Based Reasoning (ICCBR),
Cork, Ireland, 2014, pp. 17–31.
mla: Abdel-Aziz, A., et al. “Learning Solution Similarity in Preference-Based CBR.”
Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014,
pp. 17–31.
short: 'A. Abdel-Aziz, M. Strickert, E. Hüllermeier, in: Proceedings Int. Conf.
Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.'
date_created: 2019-06-14T14:34:14Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 17-31
publication: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland
status: public
title: Learning Solution Similarity in Preference-Based CBR
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10253'
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 A Bilinear Plackett-Luce Model.
In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany.
; 2014:32-33.'
apa: Schäfer, D., & Hüllermeier, E. (2014). Dyad Ranking Using A Bilinear Plackett-Luce
Model. In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany
(pp. 32–33).
bibtex: '@inproceedings{Schäfer_Hüllermeier_2014, title={Dyad Ranking Using A Bilinear
Plackett-Luce Model}, booktitle={Proceedings Lernen-Wissensentdeckung-Adaptivität
(LWA), Aachen, Germany}, author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2014},
pages={32–33} }'
chicago: Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce
Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen,
Germany, 32–33, 2014.
ieee: D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce
Model,” in Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen,
Germany, 2014, pp. 32–33.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce
Model.” Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany,
2014, pp. 32–33.
short: 'D. Schäfer, E. Hüllermeier, in: Proceedings Lernen-Wissensentdeckung-Adaptivität
(LWA), Aachen, Germany, 2014, pp. 32–33.'
date_created: 2019-06-14T14:43:58Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 32-33
publication: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany
status: public
title: Dyad Ranking Using A Bilinear Plackett-Luce Model
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10254'
author:
- first_name: T.
full_name: Calders, T.
last_name: Calders
- first_name: F.
full_name: Esposito, F.
last_name: Esposito
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Meo, R.
last_name: Meo
citation:
ama: 'Calders T, Esposito F, Hüllermeier E, Meo R. Machine Learning and Knowledge
Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In: Proceedings,
Parts I-III. Lecture Notes in Computer Science. Springer; 2014:8724-8726.'
apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Machine Learning
and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.
In Proceedings, Parts I-III. Lecture Notes in Computer Science (pp. 8724–8726).
Springer.
bibtex: '@inproceedings{Calders_Esposito_Hüllermeier_Meo_2014, title={Machine Learning
and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France},
booktitle={Proceedings, Parts I-III. Lecture Notes in Computer Science}, publisher={Springer},
author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R.}, year={2014},
pages={8724–8726} }'
chicago: Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning
and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.”
In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26.
Springer, 2014.
ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Machine Learning and
Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France,” in
Proceedings, Parts I-III. Lecture Notes in Computer Science, 2014, pp.
8724–8726.
mla: Calders, T., et al. “Machine Learning and Knowledge Discovery in Databases-European
Conf. ECML/PKDD, Nancy, France.” Proceedings, Parts I-III. Lecture Notes in
Computer Science, Springer, 2014, pp. 8724–26.
short: 'T. Calders, F. Esposito, E. Hüllermeier, R. Meo, in: Proceedings, Parts
I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–8726.'
date_created: 2019-06-14T14:51:07Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 8724-8726
publication: Proceedings, Parts I-III. Lecture Notes in Computer Science
publisher: Springer
status: public
title: Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD,
Nancy, France
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10295'
author:
- first_name: J.
full_name: Fürnkranz, J.
last_name: Fürnkranz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Cynthia
full_name: Rudin, Cynthia
last_name: Rudin
- first_name: Roman
full_name: Slowinski, Roman
last_name: Slowinski
- first_name: Scott
full_name: Sanner, Scott
last_name: Sanner
citation:
ama: 'Fürnkranz J, Hüllermeier E, Rudin C, Slowinski R, Sanner S. Preference Learning
(Dagstuhl Seminar 14101) Dagstuhl Reports. In: Vol 4. ; 2014:1-27.'
apa: Fürnkranz, J., Hüllermeier, E., Rudin, C., Slowinski, R., & Sanner, S.
(2014). Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports (Vol. 4,
pp. 1–27).
bibtex: '@inproceedings{Fürnkranz_Hüllermeier_Rudin_Slowinski_Sanner_2014, title={Preference
Learning (Dagstuhl Seminar 14101) Dagstuhl Reports}, volume={4}, number={3}, author={Fürnkranz,
J. and Hüllermeier, Eyke and Rudin, Cynthia and Slowinski, Roman and Sanner, Scott},
year={2014}, pages={1–27} }'
chicago: Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott
Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27,
2014.
ieee: J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, and S. Sanner, “Preference
Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 2014, vol. 4, no. 3, pp.
1–27.
mla: Fürnkranz, J., et al. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl
Reports. Vol. 4, no. 3, 2014, pp. 1–27.
short: 'J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014,
pp. 1–27.'
date_created: 2019-06-25T10:43:27Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 4'
issue: '3'
language:
- iso: eng
page: 1-27
status: public
title: Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports
type: conference
user_id: '49109'
volume: 4
year: '2014'
...