3076 search results - page 187 / 616 » Active Learning for Networked Data |
134
Voted
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
139
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ADMA
2006
Springer
15 years 10 months ago
2006
Springer
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
154
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PERCOM
2007
ACM
15 years 11 months ago
2007
ACM
A substantial amount of research on routing in sensor networks has focused upon methods for constructing the best route, or routes, from data source to sink before sending the dat...
126
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ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
108
Voted
IJON
2000
15 years 4 months ago
2000
Models containing recurrent connections amongst the cells within a population can account for a range of empirical data on orientation selectivity in striate cortex. However, exis...