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TSMC
2008
229views more  TSMC 2008»
13 years 7 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
ECOOP
2006
Springer
13 years 11 months ago
Evolution of an Adaptive Middleware Exploiting Architectural Reflection
: Nowadays information systems are required to adapt themselves dynamically to the ever changing environment and requirements. Architectural reflection represents a principled mean...
Francesca Arcelli Fontana, Claudia Raibulet
LREC
2008
170views Education» more  LREC 2008»
13 years 9 months ago
A Semantic Memory for Incremental Ontology Population
Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontol...
Berenike Loos, Lasse Schwarten
AIR
2005
119views more  AIR 2005»
13 years 7 months ago
An Assessment of Case-Based Reasoning for Spam Filtering
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...
Sarah Jane Delany, Padraig Cunningham, Lorcan Coyl...
CASES
2006
ACM
14 years 1 months ago
Adaptive and flexible dictionary code compression for embedded applications
Dictionary code compression is a technique where long instructions in the memory are replaced with shorter code words used as index in a table to look up the original instructions...
Mats Brorsson, Mikael Collin