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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 7 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
ECAI
2004
Springer
15 years 3 months ago
Lazy Adaptive Multicriteria Planning
This paper presents the design and development of an adaptive planning system using the technology of Web services. The Web-based adaptive planning system consists of two modules t...
Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassili...
TSP
2010
14 years 4 months ago
Adaptive sampling rate correction for acoustic echo control in voice-over-IP
Abstract--Hands-free terminals for speech communication employ adaptive filters to reduce echoes resulting from the acoustic coupling between loudspeaker and microphone. When using...
Matthias Pawig, Gerald Enzner, Peter Vary

Book
7793views
16 years 8 months ago
Introduction to Neural Networks for C#
"Introduction to Neural Networks fpr C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures...
Jeff Heaton
TARK
2009
Springer
15 years 4 months ago
Dynamic restriction of choices: a preliminary logical report
We study games in which the choices available to players are not fixed, and may change during the course of play. Specifically, we consider a model in which players may switch st...
Soumya Paul, Ramaswamy Ramanujam, Sunil Easaw Simo...