5866 search results - page 336 / 1174 » An e-Process Selection Model |
154
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
168
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ICSE
1993
IEEE-ACM
15 years 10 months ago
1993
IEEE-ACM
E cient and e ective studying of scienti c papers is an important part of software engineering education. Moreover, it contributes to the knowledge necessary to carry out software...
147
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UAI
2004
15 years 8 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
172
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EOR
2008
15 years 6 months ago
2008
We develop a multi-stage stochastic programming model for international portfolio management in a dynamic setting. We model uncertainty in asset prices and exchange rates in terms...
190
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PAMI
2006
15 years 6 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...