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» Learning and Inference with Constraints
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IJCNN
2000
IEEE
14 years 2 months ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta
IJAR
2006
118views more  IJAR 2006»
13 years 10 months ago
Learning Bayesian network parameters under order constraints
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...
A. J. Feelders, Linda C. van der Gaag
ISCI
2008
95views more  ISCI 2008»
13 years 9 months ago
Modified constrained learning algorithms incorporating additional functional constraints into neural networks
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
Fei Han, Qing-Hua Ling, De-Shuang Huang
CP
2007
Springer
14 years 4 months ago
Solution Counting Algorithms for Constraint-Centered Search Heuristics
Constraints have played a central role in cp because they capture key substructures of a problem and efficiently exploit them to boost inference. This paper intends to do the same ...
Alessandro Zanarini, Gilles Pesant
COLING
2010
13 years 5 months ago
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
In opinion mining of product reviews, one often wants to produce a summary of opinions based on product features/attributes. However, for the same feature, people can express it w...
Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia