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108
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ICML
2010
IEEE
15 years 1 months ago
Multi-agent Learning Experiments on Repeated Matrix Games
This paper experimentally evaluates multiagent learning algorithms playing repeated matrix games to maximize their cumulative return. Previous works assessed that Qlearning surpas...
Bruno Bouzy, Marc Métivier
IJON
2008
116views more  IJON 2008»
15 years 17 days ago
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
Paul D. O'Grady, Barak A. Pearlmutter
88
Voted
ISCAS
2008
IEEE
136views Hardware» more  ISCAS 2008»
15 years 7 months ago
VLSI architecture for data-reduced steering matrix feedback in MIMO systems
Abstract— Beamforming (BF) for multiple-input multipleoutput (MIMO) wireless communications systems can improve the error rate performance by spatial separation of the transmitte...
Christoph Studer, Peter Luethi, Wolfgang Fichtner
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 6 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
121
Voted
ISNN
2007
Springer
15 years 6 months ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek