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TNN
2010
216views Management» more  TNN 2010»
14 years 4 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
SIBGRAPI
2006
IEEE
15 years 3 months ago
Increasing statistical power in medical image analysis
In this paper, we present a novel method for estimating the effective number of independent variables in imaging applications that require multiple hypothesis testing. The method ...
Alexei Manso Correa Machado
CEC
2010
IEEE
14 years 11 months ago
The jMetal framework for multi-objective optimization: Design and architecture
Abstract-- jMetal is a Java-based framework for multiobjective optimization using metaheuristics. It is an ease-to-use, flexible, and extensible software package that has been used...
Juan José Durillo, Antonio J. Nebro, Enriqu...
BIBE
2008
IEEE
150views Bioinformatics» more  BIBE 2008»
14 years 10 months ago
Automatic DNA microarray gridding based on Support Vector Machines
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
ICSE
2007
IEEE-ACM
15 years 4 months ago
ACL2s: "The ACL2 Sedan"
ACL2 is the latest inception of the Boyer-Moore theorem prover, the 2005 recipient of the ACM Software System Award. In the hands of an expert, it feels like a finely tuned race ...
Peter C. Dillinger, Panagiotis Manolios, Daron Vro...