564 search results - page 23 / 113 » Approximation algorithms for restricted Bayesian network str... |
JMLR
2010
14 years 7 months ago
2010
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
94
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KDD
2003
ACM
16 years 27 days ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
198
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
98
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SAC
2008
ACM
14 years 12 months ago
2008
ACM
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
WWW
2005
ACM
16 years 1 months ago
2005
ACM
Association search is to search for certain instances in semantic web and then make inferences from and about the instances we have found. In this paper, we propose the problem of...