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» The SDA Model: A Set Theory Approach
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ICMLA
2009
13 years 3 months ago
Regularizing the Local Similarity Discriminant Analysis Classifier
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
Luca Cazzanti, Maya R. Gupta
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
13 years 6 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
PR
2008
104views more  PR 2008»
13 years 5 months ago
Generative models for similarity-based classification
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal
ER
2009
Springer
112views Database» more  ER 2009»
13 years 12 months ago
A Generic Set Theory-Based Pattern Matching Approach for the Analysis of Conceptual Models
Jörg Becker, Patrick Delfmann, Sebastian Herw...