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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
GECCO
2008
Springer
278views Optimization» more  GECCO 2008»
13 years 9 months ago
Elitism reduces bloat in genetic programming
Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements t...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...
CASES
2007
ACM
13 years 9 months ago
Facilitating compiler optimizations through the dynamic mapping of alternate register structures
Aggressive compiler optimizations such as software pipelining and loop invariant code motion can significantly improve application performance, but these transformations often re...
Chris Zimmer, Stephen Roderick Hines, Prasad Kulka...
ICDAR
2009
IEEE
14 years 2 months ago
How to Improve a Handwriting Recognition System
The recognition of handwritten characters, words, and text arouses great interest today. To develop the best working system is subject of many papers published. With this paper, m...
Haikal El Abed, Volker Märgner
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 1 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...