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CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 7 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
IJHIS
2006
104views more  IJHIS 2006»
15 years 7 months ago
Incremental evolution strategy for function optimization
This paper presents a novel evolutionary approach for function optimization Incremental Evolution Strategy (IES). Two strategies are proposed. One is to evolve the input variables...
Sheng Uei Guan, Wenting Mo
IJON
2006
127views more  IJON 2006»
15 years 7 months ago
Evolved neural networks based on cellular automata for sensory-motor controller
Constructing the controller of a mobile robot has several issues to be addressed: how to automate behavior generation procedure, how to insert available domain knowledge effective...
Kyung-Joong Kim, Sung-Bae Cho
PRL
2008
142views more  PRL 2008»
15 years 7 months ago
Highly accurate error-driven method for noun phrase detection
We present a new model for detection of noun phrases in unrestricted text, whose most outstanding feature is its flexibility: the system is able to recognize noun phrases similar ...
Lourdes Araujo, Jose Ignacio Serrano
SARA
2009
Springer
16 years 1 months ago
Tightened Transitive Closure of Integer Addition Constraints
We present algorithms for testing the satisfiability and finding the tightened transitive closure of conjunctions of addition constraints of the form ±x ± y ≤ d and bound co...
Peter Z. Revesz