235 search results - page 6 / 47 » Compiling Bayesian Networks Using Variable Elimination |
SEMWEB
2007
Springer
14 years 3 months ago
2007
Springer
Clinical Practice Guidelines (CPGs) play an important role in improving the quality of care and patient outcomes. Although several machine-readable representations of practice guid...
UAI
2001
13 years 11 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...
UAI
1998
13 years 11 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
LCPC
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. We have designed and implemented an interprocedural algorithm to analyze symbolic value ranges that can be assumed by variables at any given point in a program. Our algor...
UAI
2008
13 years 11 months ago
2008
Deciding what to sense is a crucial task, made harder by dependencies and by a nonadditive utility function. We develop approximation algorithms for selecting an optimal set of me...