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» A Nonlinear Predictive State Representation
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CVPR
2006
IEEE
14 years 1 months ago
Estimating Intrinsic Component Images using Non-Linear Regression
Images can be represented as the composition of multiple intrinsic component images, such as shading, albedo, and noise images. In this paper, we present a method for estimating i...
Marshall F. Tappen, Edward H. Adelson, William T. ...
ICMLA
2008
13 years 9 months ago
A Predictive Model for Imitation Learning in Partially Observable Environments
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
Abdeslam Boularias
CORR
2011
Springer
151views Education» more  CORR 2011»
13 years 2 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
AI
2001
Springer
14 years 1 days ago
Search Techniques for Non-linear Constraint Satisfaction Problems with Inequalities
In recent years, interval constraint-based solvers have shown their ability to efficiently solve challenging non-linear real constraint problems. However, most of the working syst...
Marius-Calin Silaghi, Djamila Sam-Haroud, Boi Falt...
ICML
2009
IEEE
14 years 8 months ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans