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EMO
2009
Springer
159views Optimization» more  EMO 2009»
14 years 4 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
DIGITEL
2008
IEEE
14 years 4 months ago
Learning about Complexity with Modular Robots
We present progress with roBlocks, a reconfigurable modular robotic system for education. Children snap together small, magnetic, heterogeneous modules to create larger, more comp...
Eric Schweikardt, Mark D. Gross
APPINF
2003
13 years 11 months ago
Robotic Societies: Elements of Learning by Imitation
Imitation enables the individuals to acquire new abilities, and encourages social interaction and cultural transfer. The capability to obtain new abilities by observation represen...
Carlos Antonio Acosta Calderon, Huosheng Hu
ICML
2008
IEEE
14 years 10 months ago
Structure compilation: trading structure for features
Structured models often achieve excellent performance but can be slow at test time. We investigate structure compilation, where we replace structure with features, which are often...
Dan Klein, Hal Daumé III, Percy Liang
ICML
1996
IEEE
14 years 2 months ago
Second Tier for Decision Trees
A learner's performance does not rely only on the representation language and on the algorithm inducing a hypothesis in this language. Also the way the induced hypothesis is ...
Miroslav Kubat