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» On Learning Soccer Strategies
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ICMAS
1998
14 years 11 months ago
How to Explore your Opponent's Strategy (almost) Optimally
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
David Carmel, Shaul Markovitch
WWW
2004
ACM
15 years 10 months ago
Integrating learning objects into an open learning environment: evaluation of learning processes in an informatics learning lab
The Didactics of Informatics research group at the University of Paderborn is involved in efforts to design implement and evaluate a web-based learning laboratory for informatics ...
Johannes Magenheim, Olaf Scheel
ICPR
2010
IEEE
14 years 7 months ago
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Jeremy Bolton, Paul D. Gader
IRI
2007
IEEE
15 years 4 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin
KESAMSTA
2010
Springer
15 years 2 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...