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» The changing science of machine learning
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AAAI
2007
13 years 10 months ago
Learning to Solve QBF
We present a novel approach to solving Quantified Boolean Formulas (QBF) that combines a search-based QBF solver with machine learning techniques. We show how classification met...
Horst Samulowitz, Roland Memisevic
ICDS
2009
IEEE
14 years 2 months ago
Personalizing Education in Post-Industrial Society
—The paper deals with significant technological changes in society when it moves into Post-Industrial age. Some of these changes have fundamental social consequences. The paper a...
Ilya Levin, Andrei Kojukhov
ALT
2005
Springer
14 years 4 months ago
Non U-Shaped Vacillatory and Team Learning
U-shaped learning behaviour in cognitive development involves learning, unlearning and relearning. It occurs, for example, in learning irregular verbs. The prior cognitive science...
Lorenzo Carlucci, John Case, Sanjay Jain, Frank St...
ICML
2003
IEEE
14 years 8 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
ITICSE
2006
ACM
14 years 1 months ago
A web-based service for the automatic detection of roles of variables
Learning elementary programming can be enhanced by introducing the notion of variable roles to students. This paper presents a web-based automatic role detection service that can ...
Petri Gerdt, Jorma Sajaniemi