241 search results - page 5 / 49 » Parameter learning for relational Bayesian networks |
109
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JMLR
2012
13 years 3 days ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
IDA
2007
Springer
15 years 3 months ago
2007
Springer
117
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BMCBI
2011
14 years 1 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
77
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UAI
1997
14 years 11 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
101
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ECCB
2003
IEEE
15 years 3 months ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...