1355 search results - page 161 / 271 » Bayesian networks |
IWINAC
2007
Springer
15 years 6 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
107
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RECOMB
2004
Springer
16 years 2 days ago
2004
Springer
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
IPSN
2004
Springer
15 years 5 months ago
2004
Springer
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
ICANN
2009
Springer
15 years 3 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
101
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INFOCOM
1997
IEEE
15 years 4 months ago
1997
IEEE
The increasing role of communication networks in today’s society results in a demand for higher levels of network availability and reliability. At the same time, fault managemen...