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AAMAS
2007
Springer
15 years 9 months ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
119
Voted
P2P
2006
IEEE
101views Communications» more  P2P 2006»
15 years 9 months ago
Reinforcement Learning for Query-Oriented Routing Indices in Unstructured Peer-to-Peer Networks
The idea of building query-oriented routing indices has changed the way of improving routing efficiency from the basis as it can learn the content distribution during the query r...
Cong Shi, Shicong Meng, Yuanjie Liu, Dingyi Han, Y...
JUCS
2008
166views more  JUCS 2008»
15 years 3 months ago
Exposure and Support of Latent Social Networks among Learning Object Repository Users
Abstract: Although immense efforts have been invested in the construction of hundreds of learning object repositories, the degree of reuse of learning resources maintained in such ...
Peng Han, Gerd Kortemeyer, Bernd J. Krämer, C...
DAGM
2007
Springer
15 years 7 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
Nils T. Siebel, Jochen Krause, Gerald Sommer
159
Voted
DBSEC
2010
319views Database» more  DBSEC 2010»
15 years 4 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang