1340 search results - page 116 / 268 » Structure learning of Bayesian networks using constraints |
124
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CDC
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract-- A network of nodes communicate via noisy channels. Each node has some real-valued initial measurement or message. The goal of each of the nodes is to acquire an estimate...
144
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TROB
2008
15 years 4 months ago
2008
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
137
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ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
111
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CP
2004
Springer
15 years 9 months ago
2004
Springer
Cardinality matrix problems are the underlying structure of several real world problems such as rostering, sports scheduling , and timetabling. These are hard computational problem...
148
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AIR
2006
15 years 4 months ago
2006
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...