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» Minimization, Learning, and Conformance Testing of Boolean P...
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EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
14 years 3 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 8 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 10 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 8 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 8 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...