Classification

Overfitting in Making Comparisons Between Variable Selection Methods JMLR 2003 Preference Elicitation via Theory Refinement JMLR 2003 Ranking a Random Feature for Variable and Feature Selection JMLR 2003 Sparseness of Support Vector Machines JMLR 2003 Tracking Linear-threshold Concepts with Winnow JMLR 2003 Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003 Ultraconservative Online Algorithms for Multiclass Problems JMLR 2003 Use of the Zero-Norm with Linear Models and Kernel Methods JMLR 2003 Variable Selection Using SVM-based Criteria JMLR 2003 Word-Sequence Kernels JMLR 2003 Algorithmic Luckiness JMLR 2002 A Robust Minimax Approach to Classification JMLR 2002 Data-dependent margin-based generalization bounds for classification JMLR 2002 Efficient Algorithms for Decision Tree Cross-validation JMLR 2002 Learning Equivalence Classes of Bayesian-Network Structures JMLR 2002 Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries JMLR 2002 Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002 Memory-Based Shallow Parsing JMLR 2002 Minimal Kernel Classifiers JMLR 2002 On Online Learning of Decision Lists JMLR 2002 PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002 Recommender Systems Using Linear Classifiers JMLR 2002 Round Robin Classification JMLR 2002 Shallow Parsing using Noisy and Non-Stationary Training Material JMLR 2002 Shallow Parsing using Specialized HMMs JMLR 2002