2005 search results - page 127 / 401 » Decisive Markov Chains |
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JAIR
2002
15 years 1 months ago
2002
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
119
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ICML
1994
IEEE
15 years 5 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
119
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ACMICEC
2007
ACM
15 years 5 months ago
2007
ACM
We present a semi-parametric model that describes pricing behaviors in a market environment, and we show how that model can be used to guide resource allocation and pricing decisi...
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ICCV
2005
IEEE
16 years 3 months ago
2005
IEEE
This paper breaks with the common practice of using a joint state space representation and performing the joint data association in multi-object tracking. Instead, we present an i...
ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...