---
_id: '15779'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: S.
full_name: Vanderlooy, S.
last_name: Vanderlooy
citation:
ama: 'Hüllermeier E, Vanderlooy S. Weighted voting as approximate MAP prediction
in pairwise classification. In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität,
Würzburg, Germany. ; 2008:34-41.'
apa: Hüllermeier, E., & Vanderlooy, S. (2008). Weighted voting as approximate
MAP prediction in pairwise classification. In In Proceedings Workshop LWA-2008,
Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 34–41).
bibtex: '@inproceedings{Hüllermeier_Vanderlooy_2008, title={Weighted voting as approximate
MAP prediction in pairwise classification}, booktitle={In Proceedings Workshop
LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany}, author={Hüllermeier,
Eyke and Vanderlooy, S.}, year={2008}, pages={34–41} }'
chicago: Hüllermeier, Eyke, and S. Vanderlooy. “Weighted Voting as Approximate MAP
Prediction in Pairwise Classification.” In In Proceedings Workshop LWA-2008,
Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 34–41, 2008.
ieee: E. Hüllermeier and S. Vanderlooy, “Weighted voting as approximate MAP prediction
in pairwise classification,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität,
Würzburg, Germany, 2008, pp. 34–41.
mla: Hüllermeier, Eyke, and S. Vanderlooy. “Weighted Voting as Approximate MAP Prediction
in Pairwise Classification.” In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität,
Würzburg, Germany, 2008, pp. 34–41.
short: 'E. Hüllermeier, S. Vanderlooy, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität,
Würzburg, Germany, 2008, pp. 34–41.'
date_created: 2020-02-04T16:09:07Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 34-41
publication: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität,
Würzburg, Germany
status: public
title: Weighted voting as approximate MAP prediction in pairwise classification
type: conference
user_id: '49109'
year: '2008'
...
---
_id: '15780'
author:
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Mernberger, M.
last_name: Mernberger
citation:
ama: 'Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple
graph alignments for mining structured biomolecular data . In: In Proceedings
Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany.
; 2008:27-33.'
apa: Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction
of multiple graph alignments for mining structured biomolecular data . In In
Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg,
Germany (pp. 27–33).
bibtex: '@inproceedings{Fober_Hüllermeier_Mernberger_2008, title={Evolutionary construction
of multiple graph alignments for mining structured biomolecular data }, booktitle={In
Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg,
Germany}, author={Fober, T. and Hüllermeier, Eyke and Mernberger, M.}, year={2008},
pages={27–33} }'
chicago: Fober, T., Eyke Hüllermeier, and M. Mernberger. “Evolutionary Construction
of Multiple Graph Alignments for Mining Structured Biomolecular Data .” In In
Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg,
Germany, 27–33, 2008.
ieee: T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of
multiple graph alignments for mining structured biomolecular data ,” in In
Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg,
Germany, 2008, pp. 27–33.
mla: Fober, T., et al. “Evolutionary Construction of Multiple Graph Alignments for
Mining Structured Biomolecular Data .” In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität,
Würzburg, Germany, 2008, pp. 27–33.
short: 'T. Fober, E. Hüllermeier, M. Mernberger, in: In Proceedings Workshop LWA-2008,
Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.'
date_created: 2020-02-04T16:12:58Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 27-33
publication: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität,
Würzburg, Germany
status: public
title: 'Evolutionary construction of multiple graph alignments for mining structured
biomolecular data '
type: conference
user_id: '49109'
year: '2008'
...
---
_id: '15781'
author:
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Mernberger, M.
last_name: Mernberger
citation:
ama: 'Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple
graph alignments for the structural analysis of biomolecules. In: Beyer A, Schroeder
M, eds. IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden
2008. ; 2008:44-53.'
apa: Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction
of multiple graph alignments for the structural analysis of biomolecules. In A.
Beyer & M. Schroeder (Eds.), iIn Proceedings GCB-2008, Germany Conference
on Bioinformatics, Dresden 2008 (pp. 44–53).
bibtex: '@inproceedings{Fober_Hüllermeier_Mernberger_2008, title={Evolutionary construction
of multiple graph alignments for the structural analysis of biomolecules}, booktitle={iIn
Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008}, author={Fober,
T. and Hüllermeier, Eyke and Mernberger, M.}, editor={Beyer, A. and Schroeder,
M.Editors}, year={2008}, pages={44–53} }'
chicago: Fober, T., Eyke Hüllermeier, and M. Mernberger. “Evolutionary Construction
of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” In
IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008,
edited by A. Beyer and M. Schroeder, 44–53, 2008.
ieee: T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of
multiple graph alignments for the structural analysis of biomolecules,” in iIn
Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008,
2008, pp. 44–53.
mla: Fober, T., et al. “Evolutionary Construction of Multiple Graph Alignments for
the Structural Analysis of Biomolecules.” IIn Proceedings GCB-2008, Germany
Conference on Bioinformatics, Dresden 2008, edited by A. Beyer and M. Schroeder,
2008, pp. 44–53.
short: 'T. Fober, E. Hüllermeier, M. Mernberger, in: A. Beyer, M. Schroeder (Eds.),
IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008,
2008, pp. 44–53.'
date_created: 2020-02-04T16:17:52Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: A.
full_name: Beyer, A.
last_name: Beyer
- first_name: M.
full_name: Schroeder, M.
last_name: Schroeder
language:
- iso: eng
page: 44-53
publication: iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden
2008
status: public
title: Evolutionary construction of multiple graph alignments for the structural analysis
of biomolecules
type: conference
user_id: '49109'
year: '2008'
...
---
_id: '16164'
author:
- first_name: J.
full_name: Hühn, J.
last_name: Hühn
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Hühn J, Hüllermeier E. Is an ordinal class structure useful in classifier learning?
International Journal of Data Mining, Modeling and Management . 2008;1(1):45-67.
apa: Hühn, J., & Hüllermeier, E. (2008). Is an ordinal class structure useful
in classifier learning? International Journal of Data Mining, Modeling and
Management , 1(1), 45–67.
bibtex: '@article{Hühn_Hüllermeier_2008, title={Is an ordinal class structure useful
in classifier learning?}, volume={1}, number={1}, journal={International Journal
of Data Mining, Modeling and Management }, author={Hühn, J. and Hüllermeier, Eyke},
year={2008}, pages={45–67} }'
chicago: 'Hühn, J., and Eyke Hüllermeier. “Is an Ordinal Class Structure Useful
in Classifier Learning?” International Journal of Data Mining, Modeling and
Management 1, no. 1 (2008): 45–67.'
ieee: J. Hühn and E. Hüllermeier, “Is an ordinal class structure useful in classifier
learning?,” International Journal of Data Mining, Modeling and Management ,
vol. 1, no. 1, pp. 45–67, 2008.
mla: Hühn, J., and Eyke Hüllermeier. “Is an Ordinal Class Structure Useful in Classifier
Learning?” International Journal of Data Mining, Modeling and Management ,
vol. 1, no. 1, 2008, pp. 45–67.
short: J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and
Management 1 (2008) 45–67.
date_created: 2020-02-28T14:56:58Z
date_updated: 2022-01-06T06:52:44Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 1'
issue: '1'
language:
- iso: eng
page: 45-67
publication: 'International Journal of Data Mining, Modeling and Management '
status: public
title: Is an ordinal class structure useful in classifier learning?
type: journal_article
user_id: '49109'
volume: 1
year: '2008'
...
---
_id: '16166'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: J.
full_name: Fürnkranz, J.
last_name: Fürnkranz
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: K.
full_name: Brinker, K.
last_name: Brinker
citation:
ama: Hüllermeier E, Fürnkranz J, Cheng W, Brinker K. Label ranking by learning pairwise
preferences. Artificial Intelligence. 2008;172:1897-1917.
apa: Hüllermeier, E., Fürnkranz, J., Cheng, W., & Brinker, K. (2008). Label
ranking by learning pairwise preferences. Artificial Intelligence, 172,
1897–1917.
bibtex: '@article{Hüllermeier_Fürnkranz_Cheng_Brinker_2008, title={Label ranking
by learning pairwise preferences}, volume={172}, journal={Artificial Intelligence},
author={Hüllermeier, Eyke and Fürnkranz, J. and Cheng, W. and Brinker, K.}, year={2008},
pages={1897–1917} }'
chicago: 'Hüllermeier, Eyke, J. Fürnkranz, W. Cheng, and K. Brinker. “Label Ranking
by Learning Pairwise Preferences.” Artificial Intelligence 172 (2008):
1897–1917.'
ieee: E. Hüllermeier, J. Fürnkranz, W. Cheng, and K. Brinker, “Label ranking by
learning pairwise preferences,” Artificial Intelligence, vol. 172, pp.
1897–1917, 2008.
mla: Hüllermeier, Eyke, et al. “Label Ranking by Learning Pairwise Preferences.”
Artificial Intelligence, vol. 172, 2008, pp. 1897–917.
short: E. Hüllermeier, J. Fürnkranz, W. Cheng, K. Brinker, Artificial Intelligence
172 (2008) 1897–1917.
date_created: 2020-02-28T15:02:10Z
date_updated: 2022-01-06T06:52:44Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 172'
language:
- iso: eng
page: 1897-1917
publication: Artificial Intelligence
status: public
title: Label ranking by learning pairwise preferences
type: journal_article
user_id: '49109'
volume: 172
year: '2008'
...
---
_id: '16167'
author:
- first_name: S.
full_name: Vanderlooy, S.
last_name: Vanderlooy
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Vanderlooy S, Hüllermeier E. A critical analysis of variants of the AUC. Machine
Learning. 2008;72:247-272.
apa: Vanderlooy, S., & Hüllermeier, E. (2008). A critical analysis of variants
of the AUC. Machine Learning, 72, 247–272.
bibtex: '@article{Vanderlooy_Hüllermeier_2008, title={A critical analysis of variants
of the AUC}, volume={72}, journal={Machine Learning}, author={Vanderlooy, S. and
Hüllermeier, Eyke}, year={2008}, pages={247–272} }'
chicago: 'Vanderlooy, S., and Eyke Hüllermeier. “A Critical Analysis of Variants
of the AUC.” Machine Learning 72 (2008): 247–72.'
ieee: S. Vanderlooy and E. Hüllermeier, “A critical analysis of variants of the
AUC,” Machine Learning, vol. 72, pp. 247–272, 2008.
mla: Vanderlooy, S., and Eyke Hüllermeier. “A Critical Analysis of Variants of the
AUC.” Machine Learning, vol. 72, 2008, pp. 247–72.
short: S. Vanderlooy, E. Hüllermeier, Machine Learning 72 (2008) 247–272.
date_created: 2020-02-28T15:04:31Z
date_updated: 2022-01-06T06:52:44Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 72'
language:
- iso: eng
page: 247-272
publication: Machine Learning
status: public
title: A critical analysis of variants of the AUC
type: journal_article
user_id: '49109'
volume: 72
year: '2008'
...
---
_id: '16168'
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: E.
full_name: Mencia, E.
last_name: Mencia
- first_name: K.
full_name: Brinker, K.
last_name: Brinker
citation:
ama: Fürnkranz J, Hüllermeier E, Mencia E, Brinker K. Multilabel classification
via calibrated label ranking. Machine Learning. 2008;73(2):133-153.
apa: Fürnkranz, J., Hüllermeier, E., Mencia, E., & Brinker, K. (2008). Multilabel
classification via calibrated label ranking. Machine Learning, 73(2),
133–153.
bibtex: '@article{Fürnkranz_Hüllermeier_Mencia_Brinker_2008, title={Multilabel classification
via calibrated label ranking}, volume={73}, number={2}, journal={Machine Learning},
author={Fürnkranz, J. and Hüllermeier, Eyke and Mencia, E. and Brinker, K.}, year={2008},
pages={133–153} }'
chicago: 'Fürnkranz, J., Eyke Hüllermeier, E. Mencia, and K. Brinker. “Multilabel
Classification via Calibrated Label Ranking.” Machine Learning 73, no.
2 (2008): 133–53.'
ieee: J. Fürnkranz, E. Hüllermeier, E. Mencia, and K. Brinker, “Multilabel classification
via calibrated label ranking,” Machine Learning, vol. 73, no. 2, pp. 133–153,
2008.
mla: Fürnkranz, J., et al. “Multilabel Classification via Calibrated Label Ranking.”
Machine Learning, vol. 73, no. 2, 2008, pp. 133–53.
short: J. Fürnkranz, E. Hüllermeier, E. Mencia, K. Brinker, Machine Learning 73
(2008) 133–153.
date_created: 2020-02-28T15:07:10Z
date_updated: 2022-01-06T06:52:44Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 73'
issue: '2'
language:
- iso: eng
page: 133-153
publication: Machine Learning
status: public
title: Multilabel classification via calibrated label ranking
type: journal_article
user_id: '49109'
volume: 73
year: '2008'
...
---
_id: '16169'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: K.
full_name: Brinker, K.
last_name: Brinker
citation:
ama: Hüllermeier E, Brinker K. Learning valued preference structures for solving
classification problems. Fuzzy Sets and Systems. 2008;159(18):2337-2352.
apa: Hüllermeier, E., & Brinker, K. (2008). Learning valued preference structures
for solving classification problems. Fuzzy Sets and Systems, 159(18),
2337–2352.
bibtex: '@article{Hüllermeier_Brinker_2008, title={Learning valued preference structures
for solving classification problems}, volume={159}, number={18}, journal={Fuzzy
Sets and Systems}, author={Hüllermeier, Eyke and Brinker, K.}, year={2008}, pages={2337–2352}
}'
chicago: 'Hüllermeier, Eyke, and K. Brinker. “Learning Valued Preference Structures
for Solving Classification Problems.” Fuzzy Sets and Systems 159, no. 18
(2008): 2337–52.'
ieee: E. Hüllermeier and K. Brinker, “Learning valued preference structures for
solving classification problems,” Fuzzy Sets and Systems, vol. 159, no.
18, pp. 2337–2352, 2008.
mla: Hüllermeier, Eyke, and K. Brinker. “Learning Valued Preference Structures for
Solving Classification Problems.” Fuzzy Sets and Systems, vol. 159, no.
18, 2008, pp. 2337–52.
short: E. Hüllermeier, K. Brinker, Fuzzy Sets and Systems 159 (2008) 2337–2352.
date_created: 2020-02-28T15:11:57Z
date_updated: 2022-01-06T06:52:44Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 159'
issue: '18'
language:
- iso: eng
page: 2337-2352
publication: Fuzzy Sets and Systems
status: public
title: Learning valued preference structures for solving classification problems
type: journal_article
user_id: '49109'
volume: 159
year: '2008'
...
---
_id: '16184'
author:
- first_name: J.
full_name: Beringer, J.
last_name: Beringer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Beringer J, Hüllermeier E. Case-based learning in a bipolar possibilistic framework.
International Journal of Intelligent Systems. 2008;23(10):1119-1134.
apa: Beringer, J., & Hüllermeier, E. (2008). Case-based learning in a bipolar
possibilistic framework. International Journal of Intelligent Systems,
23(10), 1119–1134.
bibtex: '@article{Beringer_Hüllermeier_2008, title={Case-based learning in a bipolar
possibilistic framework}, volume={23}, number={10}, journal={International Journal
of Intelligent Systems}, author={Beringer, J. and Hüllermeier, Eyke}, year={2008},
pages={1119–1134} }'
chicago: 'Beringer, J., and Eyke Hüllermeier. “Case-Based Learning in a Bipolar
Possibilistic Framework.” International Journal of Intelligent Systems
23, no. 10 (2008): 1119–34.'
ieee: J. Beringer and E. Hüllermeier, “Case-based learning in a bipolar possibilistic
framework,” International Journal of Intelligent Systems, vol. 23, no.
10, pp. 1119–1134, 2008.
mla: Beringer, J., and Eyke Hüllermeier. “Case-Based Learning in a Bipolar Possibilistic
Framework.” International Journal of Intelligent Systems, vol. 23, no.
10, 2008, pp. 1119–34.
short: J. Beringer, E. Hüllermeier, International Journal of Intelligent Systems
23 (2008) 1119–1134.
date_created: 2020-02-28T16:00:00Z
date_updated: 2022-01-06T06:52:44Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 23'
issue: '10'
language:
- iso: eng
page: 1119-1134
publication: International Journal of Intelligent Systems
status: public
title: Case-based learning in a bipolar possibilistic framework
type: journal_article
user_id: '49109'
volume: 23
year: '2008'
...
---
_id: '16225'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. Granular computing in machine learning and data mining. In:
Pedrycz W, Skowron A, Kreinovich V, eds. Handbook on Granular Computing.
John Wiley and Sons; 2008:889-906.'
apa: Hüllermeier, E. (2008). Granular computing in machine learning and data mining.
In W. Pedrycz, A. Skowron, & V. Kreinovich (Eds.), Handbook on Granular
Computing (pp. 889–906). John Wiley and Sons.
bibtex: '@inbook{Hüllermeier_2008, title={Granular computing in machine learning
and data mining}, booktitle={Handbook on Granular Computing}, publisher={John
Wiley and Sons}, author={Hüllermeier, Eyke}, editor={Pedrycz, W. and Skowron,
A. and Kreinovich, V.Editors}, year={2008}, pages={889–906} }'
chicago: Hüllermeier, Eyke. “Granular Computing in Machine Learning and Data Mining.”
In Handbook on Granular Computing, edited by W. Pedrycz, A. Skowron, and
V. Kreinovich, 889–906. John Wiley and Sons, 2008.
ieee: E. Hüllermeier, “Granular computing in machine learning and data mining,”
in Handbook on Granular Computing, W. Pedrycz, A. Skowron, and V. Kreinovich,
Eds. John Wiley and Sons, 2008, pp. 889–906.
mla: Hüllermeier, Eyke. “Granular Computing in Machine Learning and Data Mining.”
Handbook on Granular Computing, edited by W. Pedrycz et al., John Wiley
and Sons, 2008, pp. 889–906.
short: 'E. Hüllermeier, in: W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), Handbook
on Granular Computing, John Wiley and Sons, 2008, pp. 889–906.'
date_created: 2020-03-03T16:04:44Z
date_updated: 2022-01-06T06:52:46Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: W.
full_name: Pedrycz, W.
last_name: Pedrycz
- first_name: A.
full_name: Skowron, A.
last_name: Skowron
- first_name: V.
full_name: Kreinovich, V.
last_name: Kreinovich
language:
- iso: eng
page: 889-906
publication: Handbook on Granular Computing
publisher: John Wiley and Sons
status: public
title: Granular computing in machine learning and data mining
type: book_chapter
user_id: '49109'
year: '2008'
...