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ECML
2007
Springer
14 years 2 months ago
Safe Q-Learning on Complete History Spaces
In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...
Stephan Timmer, Martin Riedmiller
ICPP
2000
IEEE
14 years 12 days ago
Evaluation of Loop Grouping Methods Based on Orthogonal Projection Spaces
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
Ioannis Drositis, Georgios I. Goumas, Nectarios Ko...
DM
2008
87views more  DM 2008»
13 years 8 months ago
More on pooling spaces
A pooling space is a ranked poset P such that the subposet w+ induced by the elements above w is atomic for each element w of P. Pooling spaces were introduced in [Discrete Mathem...
Hau-wen Huang, Yu-pei Huang, Chih-wen Weng
TIT
2002
81views more  TIT 2002»
13 years 7 months ago
On sampling in shift invariant spaces
Abstract-- In this paper, a necessary and sufficient condition for sampling in the general framework of shift invariant spaces is derived. Then this result is applied respectively ...
Wen Chen, S. Itoh, J. Shiki
CVPR
2010
IEEE
14 years 10 days ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez