1138 search results - page 89 / 228 » Feature Markov Decision Processes |
181
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
145
Voted
ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
123
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EXACT
2008
15 years 6 months ago
2008
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and ca...
163
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JAIR
2006
15 years 4 months ago
2006
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
137
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Elimination by aspects (EBA) is a probabilistic choice model describing how humans decide between several options. The options from which the choice is made are characterized by b...