Machine Learning

Tree-Structured Neural Decoding 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 Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions JMLR 2002 Coupled Clustering: A Method for Detecting Structural Correspondence JMLR 2002 Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002 Data-dependent margin-based generalization bounds for classification JMLR 2002 Efficient Algorithms for Decision Tree Cross-validation JMLR 2002 Evaluating Translational Correspondence using Annotation Projection ACL 2002 Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling JMLR 2002 Kernel Independent Component Analysis 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 Learning Probabilistic Models of Link Structure JMLR 2002 Learning Rules and Their Exceptions JMLR 2002 Learning to Construct Fast Signal Processing Implementations JMLR 2002 Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002 Machine Learning with Data Dependent Hypothesis Classes JMLR 2002 Memory-Based Shallow Parsing JMLR 2002 Minimal Kernel Classifiers JMLR 2002 Multiple-Instance Learning of Real-Valued Data JMLR 2002