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CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 10 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...
CORR
2007
Springer
111views Education» more  CORR 2007»
13 years 10 months ago
Comments on "Design and performance evaluation of load distribution strategies for multiple loads on heterogeneous linear daisy
Min, Veeravalli, and Barlas have proposed strategies to minimize the overall execution time of one or several divisible loads on a heterogeneous linear network, using one or more ...
Matthieu Gallet, Yves Robert, Frédér...
CORR
2007
Springer
154views Education» more  CORR 2007»
13 years 10 months ago
Application of a design space exploration tool to enhance interleaver generation
This paper presents a methodology to efficiently explore the design space of communication adapters. In most digital signal processing (DSP) applications, the overall performance ...
Cyrille Chavet, Philippe Coussy, Pascal Urard, Eri...
JMLR
2008
92views more  JMLR 2008»
13 years 10 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke
ECCC
2007
99views more  ECCC 2007»
13 years 10 months ago
An Exponential Time/Space Speedup For Resolution
Satisfiability algorithms have become one of the most practical and successful approaches for solving a variety of real-world problems, including hardware verification, experime...
Philipp Hertel, Toniann Pitassi