1340 search results - page 174 / 268 » Structure learning of Bayesian networks using constraints |
127
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TSMC
2002
15 years 4 months ago
2002
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
144
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AIIA
2001
Springer
15 years 8 months ago
2001
Springer
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
133
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
134
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NN
2006
Springer
15 years 4 months ago
2006
Springer
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
108
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ICML
2002
IEEE
16 years 5 months ago
2002
IEEE
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...