1340 search results - page 139 / 268 » Structure learning of Bayesian networks using constraints |
233
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VLDB
2006
ACM
16 years 4 months ago
2006
ACM
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
163
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ECAI
2008
Springer
15 years 6 months ago
2008
Springer
The objective of the Maximal Constraint Satisfaction Problem (Max-CSP) is to find an instantiation which minimizes the number of constraint violations in a constraint network. In t...
150
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ICANN
2010
Springer
15 years 5 months ago
2010
Springer
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
153
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CSL
2002
Springer
15 years 4 months ago
2002
Springer
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
149
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TFS
2008
15 years 2 months ago
2008
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...