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» On the Strength of Size Limits in Linear Genetic Programming
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BMCBI
2008
90views more  BMCBI 2008»
13 years 6 months ago
Function2Gene: A gene selection tool to increase the power of genetic association studies by utilizing public databases and expe
Background: Many common disorders have multiple genetic components which convey increased susceptibility. SNPs have been used to identify genetic components which are associated w...
Don L. Armstrong, Chaim O. Jacob, Raphael Zidovetz...
COCOA
2010
Springer
13 years 4 months ago
Feasibility-Based Bounds Tightening via Fixed Points
Abstract. The search tree size of the spatial Branch-and-Bound algorithm for Mixed-Integer Nonlinear Programming depends on many factors, one of which is the width of the variable ...
Pietro Belotti, Sonia Cafieri, Jon Lee, Leo Libert...
TEC
2008
115views more  TEC 2008»
13 years 6 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
CEC
2010
IEEE
12 years 10 months ago
Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution
— If a population of programs evolved not for a few hundred generations but for a few hundred thousand or more, could it generate more interesting behaviours and tackle more comp...
Tony E. Lewis, George D. Magoulas
LPNMR
2001
Springer
13 years 11 months ago
Multi-dimensional Dynamic Knowledge Representation
Abstract. According to Dynamic Logic Programming (DLP), knowledge may be given by a sequence of theories (encoded as logic programs) representing different states of knowledge. Th...
João Alexandre Leite, José Jú...