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» Problems of learning in multi-agent systems
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GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 10 months ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...
CLEIEJ
2008
103views more  CLEIEJ 2008»
15 years 5 months ago
An Ontology-based Framework and its Application to Effective Collaboration
In the past few years Artificial Intelligence has been gradually introduced to enhance Education through technologies. However, usual approaches provide systems with a kind of exp...
Seiji Isotani, Riichiro Mizoguchi
ISPASS
2009
IEEE
15 years 11 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
CSL
2006
Springer
15 years 5 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
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JAIR
2008
157views more  JAIR 2008»
15 years 5 months ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls