Weiwei Cheng
Weiwei Cheng
Senior Scientist at Amazon
Geverifieerd e-mailadres voor amazon.com - Homepage
Geciteerd door
Geciteerd door
Label ranking by learning pairwise preferences
E Hüllermeier, J Fürnkranz, W Cheng, K Brinker
Artificial Intelligence 172 (16-17), 1897-1916, 2008
Bayes optimal multilabel classification via probabilistic classifier chains
K Dembczynski, W Cheng, E Hüllermeier
ICML, 2010
Combining instance-based learning and logistic regression for multilabel classification
W Cheng, E Hüllermeier
Machine Learning 76 (2), 211-225, 2009
On label dependence and loss minimization in multi-label classification
K Dembczyński, W Waegeman, W Cheng, E Hüllermeier
Machine Learning 88 (1), 5-45, 2012
Decision tree and instance-based learning for label ranking
W Cheng, J Hühn, E Hüllermeier
Proceedings of the 26th annual international conference on machine learning …, 2009
An Exact Algorithm for F-Measure Maximization
K Dembczynsk, W Waegeman, W Cheng, H Eyke
The 25th Annual Conference on Neural Information Processing Systems, 0
Learning monotone nonlinear models using the Choquet integral
A Fallah Tehrani, W Cheng, K Dembczyński, E Hüllermeier
Machine Learning 89 (1), 183-211, 2012
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm
J Fürnkranz, E Hüllermeier, W Cheng, SH Park
Machine learning 89 (1), 123-156, 2012
Label ranking methods based on the Plackett-Luce model
W Cheng, K Dembczynski, E Hüllermeier
ICML, 2010
Top-k selection based on adaptive sampling of noisy preferences
R Busa-Fekete, B Szorenyi, W Cheng, P Weng, E Hüllermeier
International Conference on Machine Learning, 1094-1102, 2013
Preference learning using the Choquet integral: The case of multipartite ranking
AF Tehrani, W Cheng, E Hullermeier
IEEE Transactions on Fuzzy Systems 20 (6), 1102-1113, 2012
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction
D Heider, R Senge, W Cheng, E Hüllermeier
Bioinformatics 29 (16), 1946-1952, 2013
Automated feature generation from structured knowledge
W Cheng, G Kasneci, T Graepel, D Stern, R Herbrich
Proceedings of the 20th ACM international conference on Information and …, 2011
Predicting partial orders: ranking with abstention
W Cheng, M Rademaker, BD Baets, E Hüllermeier
Joint European conference on machine learning and knowledge discovery in …, 2010
On the bayes-optimality of f-measure maximizers
W Waegeman, K Dembczyński, A Jachnik, W Cheng, E Hüllermeier
Journal of Machine Learning Research 15, 3333-3388, 2014
Label ranking with partial abstention based on thresholded probabilistic models
W Cheng, E Hüllermeier, W Waegeman, V Welker
Advances in neural information processing systems 25, 2012
Regret analysis for performance metrics in multi-label classification: the case of hamming and subset zero-one loss
K Dembczyński, W Waegeman, W Cheng, E Hüllermeier
Joint European conference on machine learning and knowledge discovery in …, 2010
Graded multilabel classification: The ordinal case
W Cheng, K Dembczynski, E Hüllermeier
ICML, 2010
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
N Teneva, W Cheng
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Preference-based policy iteration: Leveraging preference learning for reinforcement learning
W Cheng, J Fürnkranz, E Hüllermeier, SH Park
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
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