| 1 | -- | 3 | Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo. Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track |
| 5 | -- | 32 | Thomas Andrew Lampert, Pierre Gançarski. The bane of skew - Uncertain ranks and unrepresentative precision |
| 33 | -- | 64 | Theja Tulabandhula, Cynthia Rudin. On combining machine learning with decision making |
| 65 | -- | 78 | Darren Homrighausen, Daniel J. McDonald. Leave-one-out cross-validation is risk consistent for lasso |
| 79 | -- | 102 | Gary Doran, Soumya Ray. A theoretical and empirical analysis of support vector machine methods for multiple-instance classification |
| 103 | -- | 127 | Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh. A constrained matrix-variate Gaussian process for transposable data |
| 129 | -- | 154 | Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban. Learning a priori constrained weighted majority votes |
| 155 | -- | 176 | Ulf Johansson, Henrik Boström, Tuve Löfström, Henrik Linusson. Regression conformal prediction with random forests |
| 177 | -- | 203 | Kai Zhu, Rui Wu, Lei Ying, R. Srikant. Collaborative filtering with information-rich and information-sparse entities |
| 205 | -- | 226 | Nicolas Courty, Xing Gong, Jimmy Vandel, Thomas Burger. SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding |