105 search results - page 7 / 21 » Latent Tree Models and Approximate Inference in Bayesian Net... |
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
UAI
2000
13 years 8 months ago
2000
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
JMLR
2010
13 years 2 months ago
2010
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
UAI
1998
13 years 8 months ago
1998
There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
CSB
2003
IEEE
14 years 20 days ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...