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ICML
2007
IEEE
14 years 10 months ago
Discriminative learning for differing training and test distributions
We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
Michael Brückner, Steffen Bickel, Tobias Sche...
ICML
2005
IEEE
14 years 10 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
IIIX
2006
ACM
14 years 3 months ago
Towards genre classification for IR in the workplace
Abstract. Use of document genre in information retrieval systems has the potential to improve the task-appropriateness of results. However, genre classification remains a challengi...
Luanne Freund, Charles L. A. Clarke, Elaine G. Tom...
AI
2007
Springer
14 years 1 months ago
Performance Measures in Classification of Human Communications
This study emphasizes the importance of using appropriate measures in particular text classification settings. We focus on methods that evaluate how well a classifier performs. The...
Marina Sokolova, Guy Lapalme
ICML
2010
IEEE
13 years 11 months ago
Graded Multilabel Classification: The Ordinal Case
We propose a generalization of multilabel classification that we refer to as graded multilabel classification. The key idea is that, instead of requesting a yes-no answer to the q...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...