1340 search results - page 92 / 268 » Structure learning of Bayesian networks using constraints |
106
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JMLR
2008
14 years 12 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
UM
2010
Springer
15 years 5 months ago
2010
Springer
In this paper, we focus on the challenge that users face in processing messages on the web posted in participatory media settings, such as blogs. It is desirable to recommend to us...
ICDM
2005
IEEE
15 years 5 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
131
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CP
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Ordered Decision Diagrams with AND nodes, in order to capture function de...
138
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SDM
2012
SIAM
13 years 2 months ago
2012
SIAM
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...