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GECCO
2004
Springer
15 years 12 months ago
Multi-branches Genetic Programming as a Tool for Function Approximation
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
Katya Rodríguez-Vázquez, Carlos Oliv...
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 12 months ago
Bistability of the Needle Function in the Presence of Truncation Selection
It is possible for a GA to have two stable fixed points on a single-peak fitness landscape. These can correspond to meta-stable finite populations. This phenomenon is called bis...
Alden H. Wright, Greg Cripe
MICAI
2004
Springer
15 years 12 months ago
MultiGrid-Based Fuzzy Systems for Function Approximation
In this paper we make use of a modified Grid Based Fuzzy System architecture, which may provide an exponential reduction in the number of rules needed. We also introduce an algori...
Luis Javier Herrera, Héctor Pomares, Ignaci...
DMIN
2007
203views Data Mining» more  DMIN 2007»
15 years 8 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
AAAI
2006
15 years 8 months ago
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Yaxin Liu, Peter Stone