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» Interior-Point Methods in Parallel Computation
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132
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PPSN
2004
Springer
15 years 9 months ago
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these...
Andrei Petrovski, Bhavani Sudha, John A. W. McCall
IPPS
2007
IEEE
15 years 10 months ago
A Scalable Cluster Algorithm for Internet Resources
Applications such as parallel computing, online games, and content distribution networks need to run on a set of resources with particular network connection characteristics to ge...
Chuang Liu, Ian T. Foster
166
Voted
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 6 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
111
Voted
IPPS
2007
IEEE
15 years 10 months ago
Low-Overhead LogGP Parameter Assessment for Modern Interconnection Networks
Network performance measurement and prediction is very important to predict the running time of high performance computing applications. The LogP model family has been proven to b...
Torsten Hoefler, Andre Lichei, Wolfgang Rehm
133
Voted
VLDB
1993
ACM
152views Database» more  VLDB 1993»
15 years 7 months ago
Declustering Objects for Visualization
In this paper we propose a new declustering method which is particularly suitable for image and cartographic databases used for visualization. Our declustering method is based on ...
Ling Tony Chen, Doron Rotem