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EOR
2007
85views more  EOR 2007»
15 years 6 months ago
Reject inference, augmentation, and sample selection
Many researchers see the need for reject inference in credit scoring models to come from a sample selection problem whereby a missing variable results in omitted variable bias. Al...
John Banasik, Jonathan Crook
ARTMED
2005
87views more  ARTMED 2005»
15 years 6 months ago
Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-"junk" codon delineation
Codons refer to those parts in a DNA complex encoded towards forming a desired set of proteins. Also coexist in the DNA are noncodons (or "junk" codons) whose functions ...
Tomás Arredondo Vidal, Perambur S. Neelakan...
TITB
2008
199views more  TITB 2008»
15 years 6 months ago
A 3-D Active Shape Model Driven by Fuzzy Inference: Application to Cardiac CT and MR
Abstract--Manual quantitative analysis of cardiac left ventricular function using Multislice CT and MR is arduous because of the large data volume. In this paper, we present a 3-D ...
Hans C. van Assen, Mikhail G. Danilouchkine, M. S....
JCB
2007
191views more  JCB 2007»
15 years 6 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan
VISAPP
2010
15 years 4 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari