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Representation Learning

18863 directly classified papers

Papers per year

Papers

Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003

A General Framework for Distributional Similarity EMNLP 2003

Statistical Dynamics of On-line Independent Component Analysis JMLR 2003

Blind Source Separation via Generalized Eigenvalue Decomposition JMLR 2003

Extensions to Metric-Based Model Selection JMLR 2003

Kernel Independent Component Analysis JMLR 2002

Learning Probabilistic Models of Link Structure JMLR 2002

Regularized Principal Manifolds JMLR 2001

Support Vector Clustering JMLR 2001

Classes of Kernels for Machine Learning: A Statistics Perspective JMLR 2001

Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space JMLR 2001

Learning with Mixtures of Trees JMLR 2000

Dependency Networks for Inference, Collaborative Filtering, and Data Visualization JMLR 2000