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CORR
2008
Springer
142views Education» more  CORR 2008»
14 years 9 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev
EGC
2005
Springer
15 years 3 months ago
Rapid Distribution of Tasks on a Commodity Grid
The global internet is rich in commodity resources but scarce in specialized resources. We argue that a grid framework can achieve better performance if it separates the management...
Ladislau Bölöni, Damla Turgut, Taskin Ko...
HICSS
1995
IEEE
109views Biometrics» more  HICSS 1995»
15 years 1 months ago
HINT: A new way to measure computer performance
The computing community has long faced the problem of scientifically comparing different computers and different algorithms. When architecture, method, precision, or storage capac...
John L. Gustafson, Quinn Snell
PARA
2004
Springer
15 years 3 months ago
A Combined Linear and Nonlinear Preconditioning Technique for Incompressible Navier-Stokes Equations
Abstract. We propose a new two-level nonlinear additive Schwarz preconditioned inexact Newton algorithm (ASPIN). The two-level nonlinear preconditioner combines a local nonlinear a...
Feng-Nan Hwang, Xiao-Chuan Cai
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 9 hour 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