Person: Eyke Hüllermeier

DBLP: H=uuml=llermeier:Eyke

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2002

Wrote 11 papers:

ICML-2015-SzorenyiBWH #approach #multi

Qualitative Multi-Armed Bandits: A Quantile-Based Approach (BS, RBF, PW, EH), pp. 1660–1668.

ICML-c2-2014-Busa-FeketeHS #elicitation #modelling #rank #statistics #using

Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows (RBF, EH, BS), pp. 1071–1079.

ICML-c3-2013-Busa-FeketeSCWH #adaptation

Top-k Selection based on Adaptive Sampling of Noisy Preferences (RBF, BS, WC, PW, EH), pp. 1094–1102.

ICML-c3-2013-DembczynskiJKWH #approach #classification #multi #optimisation #plugin

Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization (KD, AJ, WK, WW, EH), pp. 1130–1138.

ICML-2012-DembczynskiKH #consistency #multi #ranking

Consistent Multilabel Ranking through Univariate Losses (KD, WK, EH), p. 175.

ICML-2011-KotlowskiDH #ranking

Bipartite Ranking through Minimization of Univariate Loss (WK, KD, EH), pp. 1113–1120.

ICML-2010-ChengDH #ranking

Label Ranking Methods based on the Plackett-Luce Model (WC, KD, EH), pp. 215–222.

ICML-2010-ChengDH10a #classification #multi

Graded Multilabel Classification: The Ordinal Case (WC, KD, EH), pp. 223–230.

ICML-2010-DembczynskiCH #classification #multi #probability

Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains (KD, WC, EH), pp. 279–286.

ICML-2009-ChengHH #learning #ranking

Decision tree and instance-based learning for label ranking (WC, JCH, EH), pp. 161–168.

KR-2002-CalmesDHPS #approach #flexibility #fuzzy #query

A Fuzzy Approach to Flexible Case-based Querying: Methodology and Experimentation (MdC, DD, EH, HP, FS), pp. 449–458.