1. Guest editors’ introduction: Special Issue from ECML PKDD 2009

   • Aleksander Kołcz
   • Dunja Mladenić
   • John Shawe-Taylor

   Editorial 07 August 2009 Pages: 175 - 177

2. Sparse kernel SVMs via cutting-plane training

   • Thorsten Joachims
   • Chun-Nam John Yu

   OriginalPaper 23 July 2009 Pages: 179 - 193

3. Learning multi-linear representations of distributions for efficient inference

   • Dan Roth
   • Rajhans Samdani

   OriginalPaper 23 July 2009 Pages: 195 - 209

4. Combining instance-based learning and logistic regression for multilabel classification

   • Weiwei Cheng
   • Eyke Hüllermeier

   OriginalPaper 23 July 2009 Pages: 211 - 225

5. On structured output training: hard cases and an efficient alternative

   • Thomas Gärtner
   • Shankar Vembu

   OriginalPaper 23 July 2009 Pages: 227 - 242

6. Hybrid least-squares algorithms for approximate policy evaluation

   • Jeff Johns
   • Marek Petrik
   • Sridhar Mahadevan

   OriginalPaper 23 July 2009 Pages: 243 - 256

7. A self-training approach to cost sensitive uncertainty sampling

   • Alexander Liu
   • Goo Jun
   • Joydeep Ghosh

   OriginalPaper 25 July 2009 Pages: 257 - 270

8. Cost-sensitive learning based on Bregman divergences

   • Raúl Santos-Rodríguez
   • Alicia Guerrero-Curieses
   • Jesús Cid-Sueiro

   OriginalPaper 23 July 2009 Pages: 271 - 285