1340 search results - page 122 / 268 » Structure learning of Bayesian networks using constraints |
149
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AMAI
2004
Springer
15 years 9 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
131
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ALGORITHMICA
2010
15 years 4 months ago
2010
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...
156
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BMCBI
2006
15 years 4 months ago
2006
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
127
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NN
2007
Springer
15 years 3 months ago
2007
Springer
An enhanced self-organizing incremental neural network (ESOINN) is proposed to accomplish online unsupervised learning tasks. It improves the self-organizing incremental neural ne...
166
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AB
2008
Springer
15 years 10 months ago
2008
Springer
Abstract. A well-known discrete approach to modeling biological regulatory networks is the logical framework developed by R. Thomas. The network structure is captured in an interac...