1. Guest Editors’ introduction: special issue of the ECML/PKDD 2014 journal track

   • Toon Calders
   • Floriana Esposito
   • Rosa Meo

   Editorial 19 August 2014 Pages: 1 - 3

2. The bane of skew

   • Thomas A. Lampert
   • Pierre Gançarski

   OriginalPaper 24 January 2014 Pages: 5 - 32

   

3. On combining machine learning with decision making

   • Theja Tulabandhula
   • Cynthia Rudin

   OriginalPaper 28 June 2014 Pages: 33 - 64

   

4. Leave-one-out cross-validation is risk consistent for lasso

   • Darren Homrighausen
   • Daniel J. McDonald

   OriginalPaper 28 March 2014 Pages: 65 - 78

5. A theoretical and empirical analysis of support vector machine methods for multiple-instance classification

   • Gary Doran
   • Soumya Ray

   OriginalPaper 20 December 2013 Pages: 79 - 102

   

6. A constrained matrix-variate Gaussian process for transposable data

   • Oluwasanmi Koyejo
   • Cheng Lee
   • Joydeep Ghosh

   OriginalPaper 10 June 2014 Pages: 103 - 127

   

7. Learning a priori constrained weighted majority votes

   • Aurélien Bellet
   • Amaury Habrard
   • Marc Sebban

   OriginalPaper 10 July 2014 Pages: 129 - 154

   

8. Regression conformal prediction with random forests

   • Ulf Johansson
   • Henrik Boström
   • Henrik Linusson

   OriginalPaper 09 July 2014 Pages: 155 - 176

9. Collaborative filtering with information-rich and information-sparse entities

   • Kai Zhu
   • Rui Wu
   • R. Srikant

   OriginalPaper 08 August 2014 Pages: 177 - 203

   

10. SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding

    • Nicolas Courty
    • Xing Gong
    • Thomas Burger

    OriginalPaper 13 August 2014 Pages: 205 - 226