447 search results - page 58 / 90 » Explaining inferences in Bayesian networks |
132
Voted
AAAI
2006
15 years 5 months ago
2006
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
169
Voted
BIBM
2008
IEEE
15 years 10 months ago
2008
IEEE
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
146
Voted
ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...
172
Voted
ICIP
2003
IEEE
15 years 8 months ago
2003
IEEE
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
155
Voted
UAI
2001
15 years 4 months ago
2001
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...