4947 search results - page 214 / 990 » Learning Module Networks |
126
Voted
IDEAL
2000
Springer
15 years 6 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
119
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AAAI
2008
15 years 5 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
108
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IJAR
2006
15 years 3 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
103
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JMLR
2010
14 years 10 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
64
Voted
ISCAS
2006
IEEE
15 years 9 months ago
2006
IEEE
—Recent research into artificial neural networks (ANN) has highlighted the potential of using compact analogue ANN hardware cores in embedded mobile devices, where power consumpt...