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» Minimization, Learning, and Conformance Testing of Boolean P...
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EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
13 years 11 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
CORR
2006
Springer
153views Education» more  CORR 2006»
13 years 5 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
CF
2005
ACM
13 years 7 months ago
Grid result checking
Result checking is the theory and practice of proving that the result of an execution of a program on an input is correct. Result checking has most often been envisioned in the fr...
Cécile Germain-Renaud, Dephine Monnier-Raga...
JCC
2008
88views more  JCC 2008»
13 years 4 months ago
A self-organizing algorithm for molecular alignment and pharmacophore development
Abstract: We present a method for simultaneous three-dimensional (3D) structure generation and pharmacophorebased alignment using a self-organizing algorithm called Stochastic Prox...
Deepak Bandyopadhyay, Dimitris K. Agrafiotis
INFORMS
1998
100views more  INFORMS 1998»
13 years 4 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...