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» Genetic algorithms in classifier fusion
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EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
13 years 11 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
ICMCS
2005
IEEE
126views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A Real-Time Lip SYNC System Using a Genetic Algorithm for Automatic Neural Network Configuration
In this paper we present a new method for mapping a natural speech to the lip shape animation in the real time. The speech signal, represented by MFCC vectors, is classified into ...
Goranka Zoric, Igor S. Pandzic
ICCV
2003
IEEE
14 years 9 months ago
Fusion of Static and Dynamic Body Biometrics for Gait Recognition
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper aims to propose a visual recognition algorithm based upon fusi...
Liang Wang, Huazhong Ning, Tieniu Tan, Weiming Hu
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
14 years 28 days ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 11 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi