Machine Learning

Bayes Point Machines JMLR 2001 Class-Based Probability Estimation Using a Semantic Hierarchy NAACL 2001 Classes of Kernels for Machine Learning: A Statistics Perspective JMLR 2001 Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001 Exact Simplification of Support Vector Solutions JMLR 2001 Graph-Based Hierarchical Conceptual Clustering JMLR 2001 Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space JMLR 2001 Lagrangian Support Vector Machines JMLR 2001 One-Class SVMs for Document Classification JMLR 2001 On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001 On the Influence of the Kernel on the Consistency of Support Vector Machines JMLR 2001 On the Size of Convex Hulls of Small Sets JMLR 2001 Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms JMLR 2001 Regularized Principal Manifolds JMLR 2001 Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001 Support Vector Clustering JMLR 2001 Support Vector Machine Active Learning with Applications to Text Classification JMLR 2001 SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001 Tracking the Best Linear Predictor JMLR 2001 Uniform Object Generation for Optimizing One-class Classifiers JMLR 2001 Dependency Networks for Inference, Collaborative Filtering, and Data Visualization JMLR 2000 Distilling dialogues - A method using natural dialogue corpora for dialogue systems development NAACL 2000 Learning Evaluation Functions to Improve Optimization by Local Search JMLR 2000 Learning with Mixtures of Trees JMLR 2000 Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers JMLR 2000