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» An algorithmic approach to knowledge evolution
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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 23 days ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
IJCNN
2006
IEEE
16 years 19 days ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
16 years 18 days ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
WABI
2004
Springer
116views Bioinformatics» more  WABI 2004»
15 years 12 months ago
Topological Rearrangements and Local Search Method for Tandem Duplication Trees
—The problem of reconstructing the duplication history of a set of tandemly repeated sequences was first introduced by Fitch [4]. Many recent studies deal with this problem, show...
Denis Bertrand, Olivier Gascuel
193
Voted
GECCO
2010
Springer
212views Optimization» more  GECCO 2010»
15 years 11 months ago
Generative and developmental systems
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Kenneth O. Stanley