321 search results - page 25 / 65 » Learning Bayesian Networks with Local Structure |
150
Voted
JMLR
2012
13 years 4 months 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...
125
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BMCBI
2008
15 years 2 months ago
2008
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
120
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
114
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CVPR
2003
IEEE
16 years 3 months ago
2003
IEEE
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
138
Voted
JMLR
2010
14 years 8 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...