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ROBOCUP
2005
Springer
134views Robotics» more  ROBOCUP 2005»
16 years 5 days ago
Simultaneous Learning to Acquire Competitive Behaviors in Multi-agent System Based on Modular Learning System
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
Yasutake Takahashi, Kazuhiro Edazawa, Kentarou Nom...
166
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CSEE
2008
Springer
15 years 8 months ago
Improving Knowledge Acquisition in Capstone Projects Using Learning Spaces for Experiential Learning
Students have to cope with new technologies, changing environments, and conflicting changes in capstone projects. They often lack practical experience, which might lead to failing...
Eric Ras, Jörg Rech
SIGIR
2012
ACM
13 years 9 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
ECTEL
2007
Springer
16 years 26 days ago
Integration in Generic Tool Learning Design to Support Complex Learning Methodologies
: Current learning modelling languages do not allow formalization of scripts where generic tools are required. This limitation is especially relevant on remote courses when using c...
Luis de la Fuente Valentín
MCS
2004
Springer
16 years 1 days ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar