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ICTAI
2006
IEEE
14 years 2 months ago
Belief Update in Bayesian Networks Using Uncertain Evidence
This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...
Rong Pan, Yun Peng, Zhongli Ding
WSC
2004
13 years 10 months ago
Simulation Input Updating Using Bayesian Techniques
Simulation built on assumption and approximation has been traditionally utilized to make predictions prior to construction. Although there are many benefits of simulation such as ...
Tae Hwan Chung, Yasser Mohamed, Simaan M. AbouRizk
JMLR
2012
11 years 11 months ago
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 2 months ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs
JMLR
2006
169views more  JMLR 2006»
13 years 8 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...