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» Boosting Technique for Combining Cellular GP Classifiers
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EUROGP
2004
Springer
122views Optimization» more  EUROGP 2004»
13 years 9 months ago
Boosting Technique for Combining Cellular GP Classifiers
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 9 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SSPR
2000
Springer
13 years 9 months ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
PAA
2002
13 years 5 months ago
Bagging, Boosting and the Random Subspace Method for Linear Classifiers
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
Marina Skurichina, Robert P. W. Duin
TEC
2008
139views more  TEC 2008»
13 years 5 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane