222 search results - page 1 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
91
Voted
RSKT
2009
Springer
15 years 4 months ago
2009
Springer
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
125
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RSKT
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
85
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WSC
1997
14 years 10 months ago
1997
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
FUIN
2002
14 years 9 months ago
2002
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...