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DMIN
2008
190views Data Mining» more  DMIN 2008»
15 years 5 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 8 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
IADIS
2004
15 years 5 months ago
Connect: Designing the Classroom of Tomorrow by Using Advanced Technologies to Connect Formal and Informal Learning Environments
The main objective of the CONNECT project is to develop an innovative pedagogical framework that attempts to blend formal and informal learning, proposing an educational reform to ...
Sofoklis Sotiriou, Eleni Chatzichristou, Stavros S...
IAAI
2003
15 years 5 months ago
Teachable Agents: Learning by Teaching Environments for Science Domains
The crisis in science education and the need for innovative computer-based learning environments has prompted us to develop a multi-agent system, Betty’s Brain that implements t...
Krittaya Leelawong, Karun Viswanath, Joan M. Davis...
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 5 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer