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CEC
2009
IEEE
16 years 1 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»
16 years 1 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...
172
Voted
CORR
2010
Springer
221views Education» more  CORR 2010»
15 years 3 months 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...
IJAMCIGI
2010
90views more  IJAMCIGI 2010»
15 years 3 months 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 3 months 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