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» Approximating Component Selection
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155
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CEC
2009
IEEE
15 years 10 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
EUROGP
2009
Springer
149views Optimization» more  EUROGP 2009»
15 years 10 months ago
Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
José Luis Montaña, César Luis...
123
Voted
CORR
2010
Springer
221views Education» more  CORR 2010»
15 years 26 days ago
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nas...
125
Voted
IJAMCIGI
2010
90views more  IJAMCIGI 2010»
15 years 22 days ago
A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
Ender Özcan, Mustafa Misir, Gabriela Ochoa, E...
IJBIS
2010
94views more  IJBIS 2010»
15 years 22 days ago
A framework towards a multi-modal fingerprinting scheme for multimedia assets
Fingerprinting is a well known approach for identifying multimedia data without having the original data present but what amounts to its essence or "DNA". Current approa...
Atta Badii, Daniel Thiemert