2103 search results - page 85 / 421 » Approximate Learning of Dynamic Models |
168
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ICPR
2002
IEEE
16 years 5 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
120
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AMAI
1999
Springer
15 years 4 months ago
1999
Springer
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
151
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FLAIRS
2008
15 years 7 months ago
2008
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
129
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
132
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ICANN
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...