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» Model selection in genetic programming
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ICCD
2001
IEEE
110views Hardware» more  ICCD 2001»
14 years 5 months ago
Low-Energy DSP Code Generation Using a Genetic Algorithm
This paper deals with low-energy code generation for a highly optimized digital signal processor designed for mobile communication applications. We present a genetic algorithm bas...
Markus Lorenz, Rainer Leupers, Peter Marwedel, Tho...
IJCSA
2007
99views more  IJCSA 2007»
13 years 8 months ago
Wing Pattern-Based Classification of the Rhagoletis pomonella Species Complex Using Genetic Neural Networks
The Rhagoletis pomonella species complex consists of at least four sibling species. They are highly host specific as larvae, and display great fidelity as adults. The only certain...
Chengpeng Bi, Michael C. Saunders, Bruce A. McPher...
AISS
2010
137views more  AISS 2010»
13 years 6 months ago
Mathematical Multi-objective Model for the selection of a portfolio of investment in the Mexican Stock Market
A mathematical multi objective model for the selection of a portfolio of investment is presented and its application in the Mexican Stock Exchange (BMV). The multi objective model...
José Crispín Zavala Díaz, Mar...
BIOINFORMATICS
1999
65views more  BIOINFORMATICS 1999»
13 years 8 months ago
Genetic Simulation Library
Summary: The Genetic Simulation Library (GSL) is a set of C++ programs and classes that can be used in individualbased simulation models of plant and animal populations. The class...
John S. Conery, Michael Lynch
ICML
2004
IEEE
14 years 2 months ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim