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» Problems of learning in multi-agent systems
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AAAI
1996
15 years 6 months ago
Learning Models of Intelligent Agents
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
David Carmel, Shaul Markovitch
140
Voted
MICCAI
2008
Springer
16 years 5 months ago
Customized Design of Hearing Aids Using Statistical Shape Learning
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient's anatomy. In this paper, we presen...
Gozde B. Unal, Delphine Nain, Gregory G. Slabaug...
141
Voted
ICANN
2009
Springer
15 years 11 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
ICPR
2008
IEEE
15 years 11 months ago
Learning polynomial function based neutral-emotion GMM transformation for emotional speaker recognition
One of the biggest challenges in speaker recognition is dealing with speaker-emotion variability. The basic problem is how to train the emotion GMMs of the speakers from their neu...
Zhenyu Shan, Yingchun Yang
126
Voted
COLT
2004
Springer
15 years 10 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi