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» Methods for Evolving Robust Programs
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GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
14 years 24 days ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 2 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
DAC
2006
ACM
14 years 3 months ago
Clock buffer and wire sizing using sequential programming
This paper investigates methods for clock skew minimization using buffer and wire sizing. First, a technique that significantly improves solution quality and stability of sequent...
Matthew R. Guthaus, Dennis Sylvester, Richard B. B...
ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Human Posture Recognition with Convex Programming
We present a novel human posture recognition method using convex programming based matching schemes. Instead of trying to segment the object from the background, we develop a nove...
Hao Jiang, Ze-Nian Li, Mark S. Drew
CEC
2007
IEEE
14 years 1 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...