723 search results - page 52 / 145 » Learning a Hidden Subgraph |
103
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JMLR
2010
14 years 5 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
76
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ISCAS
2005
IEEE
15 years 4 months ago
2005
IEEE
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
103
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IJCAI
1997
15 years 11 days ago
1997
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
NIPS
1997
15 years 11 days ago
1997
Singular value decomposition (SVD) can be viewed as a method for unsupervised training of a network that associates two classes of events reciprocally by linear connections throug...
PVLDB
2008
14 years 10 months ago
2008
In this paper we describe a new approach to extract element labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve a...