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» Analysis of Parallel Downloading for Large File Distribution
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164
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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 5 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
234
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ICDE
2008
IEEE
131views Database» more  ICDE 2008»
16 years 4 months ago
Parallel Evaluation of Composite Aggregate Queries
Aggregate measures summarizing subsets of data are valuable in exploratory analysis and decision support, especially when dependent aggregations can be easily specified and compute...
Lei Chen 0003, Christopher Olston, Raghu Ramakrish...
110
Voted
ICDCS
2005
IEEE
15 years 9 months ago
Characterizing and Predicting TCP Throughput on the Wide Area Network
DualPats exploits the strong correlation between TCP throughput and flow size, and the statistical stability of Internet path characteristics to accurately predict the TCP throug...
Dong Lu, Yi Qiao, Peter A. Dinda, Fabián E....
KES
1999
Springer
15 years 7 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
133
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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 3 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic