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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 20 days ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
AE
2003
Springer
14 years 2 months ago
Evolving a Cooperative Transport Behavior for Two Simple Robots
This paper addresses the problem of cooperative transport of an object by a group of two simple autonomous mobile robots called s-bots. S-bots are able to establish physical connec...
Roderich Groß, Marco Dorigo
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
ECAL
2001
Springer
14 years 1 months ago
Evolving Lives: The Individual Historical Dimension in Evolution
Some benefits of a dialogue between evolutionary robotics and developmental ethology are presented with discussion of how developmental models might inform approaches to evolution...
Rachel Wood
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 10 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...