conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
'00
'05
'10
'15
'20
'25

Papers

Large Scale Multiple Kernel Learning JMLR 2006
Streamwise Feature Selection JMLR 2006
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
Learning Parts-Based Representations of Data JMLR 2006
Linear State-Space Models for Blind Source Separation JMLR 2006
Universal Kernels JMLR 2006
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Diffusion Kernels on Statistical Manifolds JMLR 2005
Information Bottleneck for Gaussian Variables JMLR 2005
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