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86
Voted
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
14 years 10 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...
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
15 years 2 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
IJCAI
2007
14 years 11 months ago
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Shin-ichi Minato, Ken Satoh, Taisuke Sato
72
Voted
ICPR
2006
IEEE
15 years 10 months ago
Using texture-based symbolic features for medical image representation
At present time the Internet has become a major source of information and a powerful didactic tool. Furthermore, the development of digital equipment, allows to acquire and store ...
Abdelaziz Bensrhair, Alexandrina Rogozan, Eugen Ba...
99
Voted
ICDAR
2011
IEEE
13 years 9 months ago
Symbol Spotting in Line Drawings through Graph Paths Hashing
—In this paper we propose a symbol spotting technique through hashing the shape descriptors of graph paths (Hamiltonian paths). Complex graphical structures in line drawings can ...
Anjan Dutta, Josep Lladós, Umapada Pal