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Representation Learning

18863 directly classified papers

Papers per year

Papers

Diffusion Kernels on Statistical Manifolds JMLR 2005
Semigroup Kernels on Measures JMLR 2005
Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Learning Module Networks JMLR 2005
Learning Multiple Tasks with Kernel Methods JMLR 2005
Information Bottleneck for Gaussian Variables JMLR 2005
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models JMLR 2005
Reinforcement Learning with Factored States and Actions JMLR 2004
Weather Data Mining Using Independent Component Analysis JMLR 2004
Non-negative Matrix Factorization with Sparseness Constraints JMLR 2004
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation JMLR 2004
MISEP -- Linear and Nonlinear ICA Based on Mutual Information JMLR 2003
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions JMLR 2003
Beyond Independent Components: Trees and Clusters JMLR 2003
Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results JMLR 2003
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003
Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003
Extensions to Metric-Based Model Selection JMLR 2003
An Introduction to Variable and Feature Selection JMLR 2003
ICA Using Spacings Estimates of Entropy JMLR 2003
Energy-Based Models for Sparse Overcomplete Representations JMLR 2003
A General Framework for Distributional Similarity EMNLP 2003
Statistical Dynamics of On-line Independent Component Analysis JMLR 2003