1340 search results - page 171 / 268 » Structure learning of Bayesian networks using constraints |
194
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AI
1998
Springer
15 years 4 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
122
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
152
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IJCAI
2003
15 years 5 months ago
2003
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
255
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MOBISYS
2011
ACM
14 years 7 months ago
2011
ACM
We present an indoor positioning system that measures location using disturbances of the Earth's magnetic field caused by structural steel elements in a building. The presenc...
138
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ISNN
2007
Springer
15 years 10 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...