447 search results - page 50 / 90 » Explaining inferences in Bayesian networks |
114
click to vote
ICASSP
2009
IEEE
14 years 11 months ago
2009
IEEE
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
116
Voted
AAAI
2004
15 years 3 months ago
2004
Plan recognition has traditionally been developed for logically encoded application domains with a focus on logical reasoning. In this paper, we present an integrated plan-recogni...
139
Voted
JMLR
2010
14 years 8 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
96
Voted
ITNG
2010
IEEE
15 years 7 months ago
2010
IEEE
—This paper presents the design of BAUT, a tutoring system that explores statistical approach for providing instant project failure analysis. Driven by a Bayesian Network (BN) in...
IJAR
2008
15 years 1 months ago
2008
This paper presents a family of algorithms for approximate inference in credal networks (that is, models based on directed acyclic graphs and set-valued probabilities) that contai...