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Representation Learning

18863 directly classified papers

Papers per year

Papers

Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach JMLR 2005
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models JMLR 2005
Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005
Diffusion Kernels on Statistical Manifolds JMLR 2005
Semigroup Kernels on Measures JMLR 2005
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Learning Module Networks JMLR 2005
Information Bottleneck for Gaussian Variables JMLR 2005
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation JMLR 2004
Non-negative Matrix Factorization with Sparseness Constraints JMLR 2004
Reinforcement Learning with Factored States and Actions JMLR 2004
Weather Data Mining Using Independent Component Analysis JMLR 2004
Beyond Independent Components: Trees and Clusters JMLR 2003
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions JMLR 2003
Energy-Based Models for Sparse Overcomplete Representations JMLR 2003
Sufficient Dimensionality Reduction JMLR 2003
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003
Least-Squares Policy Iteration JMLR 2003
Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results JMLR 2003
ICA Using Spacings Estimates of Entropy JMLR 2003
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003
A Neural Probabilistic Language Model JMLR 2003
An Introduction to Variable and Feature Selection JMLR 2003
MISEP -- Linear and Nonlinear ICA Based on Mutual Information JMLR 2003
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds JMLR 2003