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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 6 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
ICPP
1994
IEEE
15 years 11 months ago
A New Approach to Scheduling Parallel Programs Using Task Duplication
1 In this paper, we explore the problem of scheduling parallel programs using task duplication for messagepassing multicomputers. Task duplication means scheduling a parallel progr...
Ishfaq Ahmad, Yu-Kwong Kwok
SIAMDM
2002
124views more  SIAMDM 2002»
15 years 6 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella
PAMI
2010
276views more  PAMI 2010»
15 years 5 months ago
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
Yijun Sun, Sinisa Todorovic, Steve Goodison
IJCNN
2006
IEEE
16 years 23 days ago
Optimal In-Place Learning and the Lobe Component Analysis
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...
Juyang Weng, Nan Zhang 0002