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TNN
2008
128views more  TNN 2008»
15 years 5 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
TSMC
2008
146views more  TSMC 2008»
15 years 5 months ago
Decentralized Learning in Markov 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 tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
INFOCOM
2010
IEEE
15 years 4 months ago
Worst-Case TCAM Rule Expansion
—Designers of TCAMs (ternary CAMs) for packet classification often have to deal with unpredictable sets of rules. These result in highly variable rule expansions, and can only r...
Ori Rottenstreich, Isaac Keslassy
ISPDC
2010
IEEE
15 years 4 months ago
Practical Uniform Peer Sampling under Churn
—Providing independent uniform samples from a system population poses considerable problems in highly dynamic settings, like P2P systems, where the number of participants and the...
Roberto Baldoni, Marco Platania, Leonardo Querzoni...
ICANN
2010
Springer
15 years 2 months ago
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
Sandra García, Ricardo Aler, Inés Ma...