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CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
15 years 8 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
GLOBE
2009
Springer
15 years 6 months ago
AGiDS: A Grid-Based Strategy for Distributed Skyline Query Processing
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. A challenging problem is to support skylin...
João B. Rocha-Junior, Akrivi Vlachou, Chris...
CORR
2008
Springer
116views Education» more  CORR 2008»
15 years 1 months ago
Polynomial Filtering for Fast Convergence in Distributed Consensus
Abstract--In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods propose...
Effrosini Kokiopoulou, Pascal Frossard
DAC
2002
ACM
16 years 2 months ago
Model order reduction for strictly passive and causal distributed systems
This paper presents a class of algorithms suitable for model reduction of distributed systems. Distributed systems are not suitable for treatment by standard model-reduction algor...
Luca Daniel, Joel R. Phillips
IFIP12
2008
15 years 3 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda