564 search results - page 40 / 113 » Approximation algorithms for restricted Bayesian network str... |
172
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SODA
2008
ACM
15 years 8 months ago
2008
ACM
In this paper, we study the spread of influence through a social network, in a model initially studied by Kempe, Kleinberg and Tardos [14, 15]: We are given a graph modeling a soc...
151
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IJAR
2008
15 years 6 months ago
2008
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
220
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
221
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ESOP
2011
Springer
14 years 10 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
191
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UAI
2008
15 years 8 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...