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Volume 1 / 1986 - Volume 86 / 2012
Special Issue from ECML PKDD 2009 Guest Editors: Aleksander Kolcz, Dunja Mladenic, Wray Buntine, Marko Grobelnik, and John Shawe-Taylor
175-177
Editorial
Guest editors’ introduction: Special Issue from ECML PKDD 2009
Aleksander Kołcz, Dunja Mladenić, Wray Buntine, Marko Grobelnik and John Shawe-Taylor
179-193
Sparse kernel SVMs via cutting-plane training
Thorsten Joachims and Chun-Nam John Yu
195-209
Learning multi-linear representations of distributions for efficient inference
Dan Roth and Rajhans Samdani
211-225
Combining instance-based learning and logistic regression for multilabel classification
Weiwei Cheng and Eyke Hüllermeier
227-242
On structured output training: hard cases and an efficient alternative
Thomas Gärtner and Shankar Vembu
243-256
Hybrid least-squares algorithms for approximate policy evaluation
Jeff Johns, Marek Petrik and Sridhar Mahadevan
257-270
A self-training approach to cost sensitive uncertainty sampling
Alexander Liu, Goo Jun and Joydeep Ghosh
271-285
Cost-sensitive learning based on Bregman divergences
Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaiz-Rodríguez and Jesús Cid-Sueiro
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