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Representation Learning

18863 directly classified papers

Papers per year

Papers

Sufficient Dimensionality Reduction JMLR 2003

Blind Source Separation via Generalized Eigenvalue Decomposition JMLR 2003

Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds JMLR 2003

Least-Squares Policy Iteration JMLR 2003

A Neural Probabilistic Language Model JMLR 2003

Learning Probabilistic Models of Link Structure JMLR 2002

Kernel Independent Component Analysis JMLR 2002

Regularized Principal Manifolds JMLR 2001

Support Vector Clustering JMLR 2001

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

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

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

Learning with Mixtures of Trees JMLR 2000