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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 5 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
ICML
2009
IEEE
16 years 2 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
IJSIR
2010
161views more  IJSIR 2010»
14 years 11 months ago
Bacterial Foraging Optimization
Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for distributed optimization and control. BFOA is i...
Kevin M. Passino
EMSOFT
2009
Springer
15 years 5 months ago
Modular static scheduling of synchronous data-flow networks: an efficient symbolic representation
This paper addresses the question of producing modular sequential imperative code from synchronous data-flow networks. Precisely, given a system with several input and output flow...
Marc Pouzet, Pascal Raymond
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 7 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood