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119
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NIPS
2003
15 years 3 months ago
2003
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
UAI
1997
15 years 3 months ago
1997
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
141
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ITRE
2005
IEEE
15 years 8 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
210
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NCA
2011
IEEE
14 years 9 months ago
2011
IEEE
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
CEC
2005
IEEE
15 years 8 months ago
2005
IEEE
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...