25 search results - page 2 / 5 » Lossless Decomposition of Bayesian Networks |
ALDT
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Ma...
ICIP
2004
IEEE
14 years 7 months ago
2004
IEEE
In this paper, we propose a novel thick slab paradigm which provides an efficient scheme to navigate through large three dimensional (3-D) medical data sets within the framework o...
JMLR
2010
13 years 4 days ago
2010
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
FLAIRS
2006
13 years 6 months ago
2006
A conditioning graph is a form of recursive factorization which minimizes the memory requirements and simplifies the implementation of inference in Bayesian networks. The time com...
CSDA
2011
13 years 10 days ago
2011
Reduced-rank decompositions provide descriptions of the variation among the elements of a matrix or array. In such decompositions, the elements of an array are expressed as produc...