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EWRL
2008
15 years 6 months ago
Bayesian Reward Filtering
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
SDM
2007
SIAM
96views Data Mining» more  SDM 2007»
15 years 6 months ago
Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM
This paper presents a unified view of a number of dimension reduction techniques under the common framework of tensors. Specifically, it is established that PCA, and the recentl...
Bernard N. Sheehan, Yousef Saad
AAAI
2006
15 years 6 months ago
Representing Systems with Hidden State
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
Christopher Hundt, Prakash Panangaden, Joelle Pine...
159
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ESANN
2001
15 years 6 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
119
Voted
NIPS
2003
15 years 6 months ago
The IM Algorithm: A Variational Approach to Information Maximization
The maximisation of information transmission over noisy channels is a common, albeit generally computationally difficult problem. We approach the difficulty of computing the mutua...
David Barber, Felix V. Agakov