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183
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COLT
1992
Springer
15 years 10 months ago
1992
Springer
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
187
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PKDD
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
195
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IROS
2009
IEEE
16 years 1 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
170
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HT
2005
ACM
16 years 6 days ago
2005
ACM
— Spatial hypertext was developed from studies of how humans deal with information overflow particularly in situations where data needed to be interpreted quickly. Intrusion det...
197
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CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...