594 search results - page 62 / 119 » Feature Selection for Value Function Approximation Using Bay... |
140
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IAT
2003
IEEE
15 years 7 months ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
113
Voted
ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. In order to reconstruct 3-D Euclidean shape by the TomasiKanade factorization, one needs to specify an affine camera model such as orthographic, weak perspective, and par...
108
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ESANN
2001
15 years 3 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
142
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JMLR
2002
15 years 1 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
136
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CVIU
2008
15 years 2 months ago
2008
This paper presents a new computational framework for modelling visual-object based attention and attention-driven eye movements within an integrated system in a biologically insp...