321 search results - page 30 / 65 » Learning Bayesian Networks with Local Structure |
123
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
125
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NN
2000
Springer
15 years 1 months ago
2000
Springer
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
147
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FLAIRS
2008
15 years 4 months ago
2008
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
107
Voted
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
120
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BMCBI
2010
15 years 2 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...