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» On the Complexity of Function Learning
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ICMAS
1998
15 years 5 months ago
Multi-Machine Scheduling - A Multi-Agent Learning Approach
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Wilfried Brauer, Gerhard Weiß
ICML
2004
IEEE
16 years 4 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann
BROADNETS
2007
IEEE
15 years 8 months ago
Reinforcement learning based routing in all-optical networks with physical impairments
Abstract-- We present and evaluate a reinforcement learningbased RWA algorithm for all-optical networks subject to physical impairments. The technique is suitable for decentralized...
Yvan Pointurier, Fariba Heidari
STAIRS
2008
175views Education» more  STAIRS 2008»
15 years 5 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
DIGRA
2005
Springer
15 years 9 months ago
Learning Games as a Platform for Simulated Science Practice
In recent years, science education has been the focus of study and development of new gamebased learning environments. It has been argued that active and critical learning about r...
Rikke Magnussen