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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 2 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
PVM
2004
Springer
15 years 6 months ago
A Performance-Oriented Technique for Hybrid Application Development
In SMP clusters it is not always convenient to switch from pure message-passing code to hybrid software designs that exploit shared memory. This paper tackles the problem of restru...
Emilio Mancini, Massimiliano Rak, Roberto Torella,...
IWUC
2004
15 years 2 months ago
Ubiquitous Application Development using a Mobile Agent-based System
Abstract. This study proposes a methodology that allows the flexible and maintainable development of application based on mobile agent to a ubiquitous environment. Ubiquitous envir...
Kazutaka Matsuzaki, Nobukazu Yoshioka, Shinichi Ho...
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 7 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
ICML
2009
IEEE
16 years 2 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng