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» A Data Locality Optimizing Algorithm
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163
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AUTOMATICA
2008
139views more  AUTOMATICA 2008»
15 years 3 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky
122
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ATAL
2006
Springer
15 years 7 months ago
Multiply-constrained distributed constraint optimization
Distributed constraint optimization (DCOP) has emerged as a useful technique for multiagent coordination. While previous DCOP work focuses on optimizing a single team objective, i...
Emma Bowring, Milind Tambe, Makoto Yokoo
129
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ROBOCUP
2005
Springer
109views Robotics» more  ROBOCUP 2005»
15 years 9 months ago
Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs
Abstract. Coordination graphs offer a tractable framework for cooperative multiagent decision making by decomposing the global payoff function into a sum of local terms. Each age...
Jelle R. Kok, Nikos A. Vlassis
137
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TEC
2008
118views more  TEC 2008»
15 years 3 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 7 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...