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133
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CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 2 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...
117
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PRL
2008
142views more  PRL 2008»
15 years 2 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
99
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GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
15 years 7 months ago
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
Abstract. To improve the efficiency of the currently known evolutionary algorithms, we have proposed two complementary efficiency speed-up strategies in our previous research work ...
Kwong-Sak Leung, Yong Liang
143
Voted
EMO
2009
Springer
143views Optimization» more  EMO 2009»
15 years 13 days ago
Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model
Traditionally, Predator-Prey Models--although providing a more nature-oriented approach to multi-objective optimization than many other standard Evolutionary Multi-Objective Algori...
Christian Grimme, Joachim Lepping, Alexander Papas...
115
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ICSE
2008
IEEE-ACM
16 years 2 months ago
On the automation of fixing software bugs
Software Testing can take up to half of the resources of the development of new software. Although there has been a lot of work on automating the testing phase, fixing a bug after...
Andrea Arcuri