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EOR
2008
86views more  EOR 2008»
14 years 9 months ago
Fuzzy inference to assess manufacturing process capability with imprecise data
Process capability indices provide numerical measures on whether a process conforms to the defined manufacturing capability prerequisite. These have been successfully applied by c...
Bi-Min Hsu, Ming-Hung Shu
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
15 years 3 months ago
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
The analysis of genetic diseases has classically been directed towards establishing direct links between cause, a genetic variation, and effect, the observable deviation of phenot...
Benjamin Georgi, M. Anne Spence, Pamela Flodman, A...
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
14 years 7 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...
NIPS
2001
14 years 11 months ago
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, J...
EUROSSC
2009
Springer
15 years 26 days ago
Using Dempster-Shafer Theory of Evidence for Situation Inference
Abstract. In the domain of ubiquitous computing, the ability to identify the occurrence of situations is a core function of being ’contextaware’. Given the uncertain nature of ...
Susan McKeever, Juan Ye, Lorcan Coyle, Simon A. Do...