553 search results - page 57 / 111 » Bayesian network learning algorithms using structural restri... |
IJCAI
2003
14 years 11 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
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CORR
2012
Springer
13 years 5 months ago
2012
Springer
Compiling Bayesian networks (BNs) to junction trees and performing belief propagation over them is among the most prominent approaches to computing posteriors in BNs. However, bel...
ESANN
2003
14 years 11 months ago
2003
In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
JMLR
2008
14 years 9 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...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Natural networks such as those between humans observed through their interactions or biological networks predicted based on various experimental measurements contain a wealth of i...