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» A Bayesian approach to analysis of limit standards
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WSC
2007
13 years 7 months ago
A Bayesian approach to analysis of limit standards
Limit standards are probabilistic requirements or benchmarks regarding the proportion of replications conforming or not conforming to a desired threshold. Sample proportions resul...
Roy R. Creasey Jr., K. Preston White Jr.
WSC
2008
13 years 7 months ago
Comparison of bayesian priors for highly reliable limit models
Limit standards are probability interval requirements for proportions. Simulation literature has focused on finding the confidence interval of the population proportion, which is ...
Roy R. Creasey Jr., K. Preston White, Linda B. Wri...
ICANN
2009
Springer
13 years 8 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
ICIP
2003
IEEE
14 years 6 months ago
A Bayesian approach to inclusion and performance analysis of using extra information in bioelectric inverse problems
Due to attenuation and spatial smoothing that occurs in the conducting media, the bioelectric inverse problem of estimating sources from remote measurements is ill-posed and solut...
Yesim Serinagaoglu, Dana H. Brooks, Robert S. MacL...
IJAR
2011
86views more  IJAR 2011»
12 years 8 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel