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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
AGENTS
2000
Springer
14 years 2 months ago
Design-to-Criteria Scheduling: Real-Time Agent Control
Design-to-Criteria builds custom schedules for agents that meet hard temporal constraints, hard resource constraints, and soft constraints stemming from soft task interactions or ...
Thomas Wagner, Victor R. Lesser
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
CIDM
2009
IEEE
14 years 5 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...