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NIPS
2000
15 years 8 months ago
Temporally Dependent Plasticity: An Information Theoretic Account
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...
Gal Chechik, Naftali Tishby
ML
1998
ACM
148views Machine Learning» more  ML 1998»
15 years 6 months ago
Colearning in Differential Games
Game playing has been a popular problem area for research in artificial intelligence and machine learning for many years. In almost every study of game playing and machine learnin...
John W. Sheppard
CGO
2009
IEEE
16 years 1 months ago
Scenario Based Optimization: A Framework for Statically Enabling Online Optimizations
Abstract—Online optimization allows the continuous restructuring and adaptation of an executing application using live information about its execution environment. The further ad...
Jason Mars, Robert Hundt
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
AAMAS
2010
Springer
15 years 6 months ago
Coordinated learning in multiagent MDPs with infinite state-space
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
Francisco S. Melo, M. Isabel Ribeiro