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EOR
2008
86views more  EOR 2008»
15 years 3 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 9 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»
15 years 1 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
15 years 4 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 6 months 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...