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Representation Learning

20,812 papers

Papers per year

2
9
101
309
2011
2283
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Papers

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