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» Boosting Methods for Regression
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AE
2005
Springer
15 years 4 months ago
Size Control with Maximum Homologous Crossover
Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Programming, tend to produce too long solutions and the recombination operator used is often co...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 4 months ago
A statistical learning theory approach of bloat
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 the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
15 years 4 months ago
Resource-limited genetic programming: the dynamic approach
Resource-Limited Genetic Programming is a bloat control technique that imposes a single limit on the total amount of resources available to the entire population, where resources ...
Sara Silva, Ernesto Costa
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
15 years 4 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
CSCW
2004
ACM
15 years 4 months ago
Predictors of availability in home life context-mediated communication
A number of studies have explored issues of interruption and availability in workplace environments, but few have examined how attitudes toward availability play out in home life....
Kristine S. Nagel, James M. Hudson, Gregory D. Abo...