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155
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ICMLA
2010
15 years 2 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
118
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ECTEL
2006
Springer
15 years 8 months ago
2006
Springer
Considering that security education needs to train students to deal with security problems in real environments, we developed new media for teaching applied cryptography and networ...
137
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NIPS
1993
15 years 5 months ago
1993
The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
139
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
212
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....