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ICPR
2008
IEEE
14 years 10 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
ECML
2003
Springer
14 years 2 months ago
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
Walter Daelemans, Véronique Hoste, Fien De ...
COR
2008
103views more  COR 2008»
13 years 9 months ago
A tabu search algorithm for structural software testing
This paper presents a tabu search metaheuristic algorithm for the automatic generation of structural software tests. It is a novel work since tabu search is applied to the automat...
Eugenia Díaz, Javier Tuya, Raquel Blanco, J...
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 2 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller
FLAIRS
2008
13 years 11 months ago
Genetic Approach for Optimizing Ensembles of Classifiers
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
Francisco Javier Ordóñez, Agapito Le...