Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions
Construction and learnability of canonical Horn formulas
Model selection in reinforcement learning
Classifier chains for multi-label classification
An asymptotically optimal policy for finite support models in the multiarmed bandit problem
Resampling approach for cluster model selection
Guest editorial: model selection and optimization in machine learning
A majorization-minimization approach to the sparse generalized eigenvalue problem
Dual coordinate descent methods for logistic regression and maximum entropy models
SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels
Sparse conjugate directions pursuit with application to fixed-size kernel models
Boosted multi-task learning
Model selection for primal SVM