1340 search results - page 129 / 268 » Structure learning of Bayesian networks using constraints |
129
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CVIU
2004
15 years 4 months ago
2004
We present a new representation and recognition method for human activities. An activity is considered to be composed of action threads, each thread being executed by a single act...
120
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
166
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
131
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ISNN
2007
Springer
15 years 10 months ago
2007
Springer
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
151
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NN
2000
Springer
15 years 4 months ago
2000
Springer
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...