185 search results - page 23 / 37 » Local Monotonicity in Probabilistic Networks |
UAI
2008
13 years 8 months ago
2008
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. As an extension of Welling and ...
INFFUS
2010
13 years 5 months ago
2010
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
ICANN
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
IPMU
1992
Springer
13 years 11 months ago
1992
Springer
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
IPSN
2005
Springer
14 years 27 days ago
2005
Springer
A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in hostile environments that are prone to link and node failures. ...