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TSMC
2008
229views more  TSMC 2008»
14 years 9 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
15 years 1 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
75
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LREC
2008
170views Education» more  LREC 2008»
14 years 11 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»
14 years 9 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
15 years 3 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