Papers
Learning Rates for Q-learning
Eyal Even Dar, Yishay Mansour
A Generative Model for Separating Illumination and Reflectance from Images
Inna Stainvas, David Lowe
ICA for Watermarking Digital Images
Stéphane Bounkong, Borémi Toch, David Saad et al.
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
Jaakko Särelä, Ricardo Vigário
Blind Source Recovery: A Framework in the State Space
Khurram Waheed, Fathi M. Salem
Statistical Dynamics of On-line Independent Component Analysis
Gleb Basalyga, Magnus Rattray
A Maximum Likelihood Approach to Single-channel Source Separation
Gil-Jin Jang, Te-Won Lee
A Multiscale Framework For Blind Separation of Linearly Mixed Signals
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling et al.
MISEP -- Linear and Nonlinear ICA Based on Mutual Information
Luís B. Almeida
ICA Using Spacings Estimates of Entropy
Erik G. Learned-Miller, John W. Fisher III
Blind Source Separation via Generalized Eigenvalue Decomposition
Lucas Parra, Paul Sajda
Energy-Based Models for Sparse Overcomplete Representations
Yee Whye Teh, Max Welling, Simon Osindero et al.
Beyond Independent Components: Trees and Clusters
Francis R. Bach, Michael I. Jordan
Dependence, Correlation and Gaussianity in Independent Component Analysis
Jean-François Cardoso
Introduction to Special Issue on Independent Components Analysis
Te-Won Lee, Jean-François Cardoso, Erkki Oja et al.
An Approximate Analytical Approach to Resampling Averages
Dörthe Malzahn, Manfred Opper
Least-Squares Policy Iteration
Michail G. Lagoudakis, Ronald Parr
Sparseness of Support Vector Machines
Ingo Steinwart
Nash Q-Learning for General-Sum Stochastic Games
Junling Hu, Michael P. Wellman
A Unified Framework for Model-based Clustering
Shi Zhong, Joydeep Ghosh
An Efficient Boosting Algorithm for Combining Preferences
Yoav Freund, Raj Iyer, Robert E. Schapire et al.