1340 search results - page 66 / 268 » Structure learning of Bayesian networks using constraints |
126
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OSDI
2008
ACM
16 years 4 months ago
2008
ACM
Because writing computer programs is hard, computer programmers are taught to use encapsulation and modularity to hide complexity and reduce the potential for errors. Their progra...
274
Voted
DSP
2007
15 years 3 months ago
2007
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
155
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JACM
2010
15 years 2 months ago
2010
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
129
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CSB
2002
IEEE
15 years 8 months ago
2002
IEEE
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
134
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ACL
2010
15 years 1 months ago
2010
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...