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» A Theory for Memory-Based Learning
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ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
15 years 11 months ago
Anytime Self-play Learning to Satisfy Functional Optimality Criteria
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Andriy Burkov, Brahim Chaib-draa
ICALT
2006
IEEE
15 years 10 months ago
Social Software for Professional Learning: Examples and Research Issues
Social software is used widely in organizational knowledge management and professional learning. The PROLEARN network of excellence appreciates the trend of lowering the barriers ...
Ralf Klamma, Mohamed Amine Chatti, Erik Duval, Seb...
COLT
1998
Springer
15 years 9 months ago
Self Bounding Learning Algorithms
Most of the work which attempts to give bounds on the generalization error of the hypothesis generated by a learning algorithm is based on methods from the theory of uniform conve...
Yoav Freund
CORR
2008
Springer
72views Education» more  CORR 2008»
15 years 4 months ago
Statistical Learning of Arbitrary Computable Classifiers
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
David Soloveichik
IANDC
2007
81views more  IANDC 2007»
15 years 4 months ago
Some natural conditions on incremental learning
The present study aims at insights into the nature of incremental learning in the context of Gold’s model of identification in the limit. With a focus on natural requirements s...
Sanjay Jain, Steffen Lange, Sandra Zilles