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134
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ML
2002
ACM
123views Machine Learning» more  ML 2002»
15 years 1 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
EAAI
2006
189views more  EAAI 2006»
15 years 1 months ago
Evolutionary algorithms for VLSI multi-objective netlist partitioning
The problem of partitioning appears in several areas ranging from VLSI, parallel programming, to molecular biology. The interest in finding an optimal partition especially in VLSI ...
Sadiq M. Sait, Aiman H. El-Maleh, Raslan H. Al-Aba...
89
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JEI
2008
307views more  JEI 2008»
15 years 1 months ago
Recall or precision-oriented strategies for binary classification of skin pixels
Skin detection is a preliminary step in many applications. We analyze some of the most frequently cited binary skin classifiers based on explicit color cluster definition and prese...
Francesca Gasparini, Silvia Corchs, Raimondo Schet...
94
Voted
EVOW
2005
Springer
15 years 7 months ago
An Attribute Grammar Decoder for the 01 MultiConstrained Knapsack Problem
We describe how the standard genotype-phenotype mapping process of Grammatical Evolution (GE) can be enhanced with an attribute grammar to allow GE to operate as a decoder-based Ev...
Robert Cleary, Michael O'Neill
IEEEHPCS
2010
14 years 11 months ago
Fast learning for multibiometrics systems using genetic algorithms
The performance (in term of error rate) of biometric systems can be improved by combining them. Multiple fusion techniques can be applied from classical logical operations to more...
Romain Giot, Mohamad El-Abed, Christophe Rosenberg...