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CONNECTION
2006
101views more  CONNECTION 2006»
13 years 7 months ago
Learning acceptable windows of contingency
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
Kevin Gold, Brian Scassellati
ICPR
2006
IEEE
14 years 8 months ago
Approximation of Digital Curves using a Multi-Objective Genetic Algorithm
In this paper, a digital planar curve approximation method based on a multi-objective genetic algorithm is proposed. In this method, the optimization/exploration algorithm locates...
Hervé Locteau, Romain Raveaux, Sébas...
CORR
2004
Springer
168views Education» more  CORR 2004»
13 years 7 months ago
Estimating Genome Reversal Distance by Genetic Algorithm
Sorting by reversals is an important problem in inferring the evolutionary relationship between two genomes. The problem of sorting unsigned permutation has been proven to be NP-ha...
Andy Auyeung, Ajith Abraham
ICPR
2008
IEEE
14 years 2 months ago
Adaptive asymmetrical SVM and genetic algorithms based iris recognition
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
Kaushik Roy 0002, Prabir Bhattacharya
TNN
1998
76views more  TNN 1998»
13 years 7 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett