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ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
SAC
2005
ACM
14 years 1 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
14 years 2 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
ESA
2007
Springer
131views Algorithms» more  ESA 2007»
14 years 1 months ago
Online Scheduling of Equal-Length Jobs on Parallel Machines
We study on-line scheduling of equal-length jobs on parallel machines. Our main result is an algorithm with competitive ratio de
Jihuan Ding, Tomás Ebenlendr, Jiri Sgall, G...
CIAC
2006
Springer
81views Algorithms» more  CIAC 2006»
13 years 11 months ago
Fair Cost-Sharing Methods for Scheduling Jobs on Parallel Machines
Yvonne Bleischwitz, Burkhard Monien