518 search results - page 59 / 104 » Learning associative Markov networks |
134
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MS
2003
15 years 6 months ago
2003
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
139
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ARCS
2004
Springer
15 years 11 months ago
2004
Springer
Searching in decentralized peer-to-peer networks is a challenging problem. In common applications such as Gnutella, searching is performed by randomly forwarding queries to all pee...
165
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ICASSP
2008
IEEE
15 years 12 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...
201
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ICDAR
2011
IEEE
14 years 5 months ago
2011
IEEE
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
147
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...