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» Multiagent learning using a variable learning rate
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ICML
2009
IEEE
16 years 7 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
MM
2009
ACM
137views Multimedia» more  MM 2009»
16 years 20 days ago
A method for rapid personalization of audio equalization parameters
Potential users of audio production software, such as audio equalizers, may be discouraged by the complexity of the interface. We describe a system that simplifies the interface b...
Andrew T. Sabin, Bryan Pardo
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 9 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
ATAL
2007
Springer
16 years 10 days ago
Real-time agent characterization and prediction
Reasoning about agents that we observe in the world is challenging. Our available information is often limited to observations of the agent’s external behavior in the past and p...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
168
Voted
GECCO
2008
Springer
149views Optimization» more  GECCO 2008»
15 years 7 months ago
Real-time imitation-based adaptation of gaming behaviour in modern computer games
In the course of the recent complexification and sophistication of commercial computer games, the creation of competitive artificial players that are able to behave intelligentl...
Steffen Priesterjahn, Alexander Weimer, Markus Ebe...