1340 search results - page 132 / 268 » Structure learning of Bayesian networks using constraints |
150
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ISMB
1993
15 years 5 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
127
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ECAI
2006
Springer
15 years 8 months ago
2006
Springer
Robust execution of robotic tasks is a difficult problem. In many situations, these tasks involve complex behaviors combining different functionalities (e.g. perception, localizat...
177
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SDM
2011
SIAM
14 years 7 months ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
135
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CL
2000
Springer
15 years 8 months ago
2000
Springer
Abstract. We propose an extension of concurrent constraint programming with primitives for process migration within a hierarchical network, and we study its semantics. To this purp...
149
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DAGM
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...