2103 search results - page 160 / 421 » Approximate Learning of Dynamic Models |
130
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WSC
2008
15 years 7 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
140
Voted
JMLR
2010
14 years 11 months ago
2010
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
163
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvemen...
153
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ICC
2009
IEEE
15 years 11 months ago
2009
IEEE
— In this paper, we present an analytical model as well as a practical mechanism to detect denial of service (DoS) attacks on secondary users in dynamic spectrum access (DSA) net...
159
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FOCS
2006
IEEE
15 years 11 months ago
2006
IEEE
Spin systems are a general way to describe local interactions between nodes in a graph. In statistical mechanics, spin systems are often used as a model for physical systems. In c...