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126
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UAI
2004
15 years 5 months ago
2004
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
138
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NIPS
2003
15 years 5 months ago
2003
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
137
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UAI
2003
15 years 5 months ago
2003
This paper introduces improved methodology to triangulate dynamic graphical models and dynamic Bayesian networks (DBNs). In this approach, a standard DBN template can be modified...
167
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UAI
2003
15 years 5 months ago
2003
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
174
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ICIP
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper presents a new statistical image segmentation algorithm, in which the texture features are modeled by Symmetric Alpha-Stable (SαS) distributions. These features are ef...