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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 1 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
140
Voted
DATAMINE
2010
175views more  DATAMINE 2010»
15 years 24 days ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
ESWA
2008
162views more  ESWA 2008»
15 years 23 days ago
Proportionate flexible flow shop scheduling via a hybrid constructive genetic algorithm
The proportionate flow shop (PFS) is considered as a unique case of the flow shop problem in which the processing times of the operations belonging to the same job are equal. A pr...
Der-Fang Shiau, Shu-Chen Cheng, Yueh-Min Huang
CORR
2010
Springer
427views Education» more  CORR 2010»
14 years 11 months ago
A Comparison between Memetic algorithm and Genetic algorithm for the cryptanalysis of Simplified Data Encryption Standard algori
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
Poonam Garg
DFT
2006
IEEE
105views VLSI» more  DFT 2006»
15 years 6 months ago
Thermal-Aware SoC Test Scheduling with Test Set Partitioning and Interleaving
1 High temperature has become a major problem for system-on-chip testing. In order to reduce the test time while keeping the temperature of the chip under test within a safe range,...
Zhiyuan He, Zebo Peng, Petru Eles, Paul M. Rosinge...