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HPDC
2002
IEEE
15 years 8 months ago
Design and Evaluation of a Resource Selection Framework for Grid Applications
While distributed, heterogeneous collections of computers (“Grids”) can in principle be used as a computing platform, in practice the problems of first discovering and then co...
Chuang Liu, Lingyun Yang, Ian T. Foster, Dave Angu...
CIARP
2009
Springer
15 years 7 months ago
Particle Swarm Model Selection for Authorship Verification
Authorship verification is the task of determining whether documents were or were not written by a certain author. The problem has been faced by using binary classifiers, one per a...
Hugo Jair Escalante, Manuel Montes-y-Gómez,...
CP
2011
Springer
14 years 3 months ago
Algorithm Selection and Scheduling
Algorithm portfolios aim to increase the robustness of our ability to solve problems efficiently. While recently proposed algorithm selection methods come ever closer to identifyin...
Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, ...
ICML
2004
IEEE
16 years 4 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
108
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ICDM
2008
IEEE
160views Data Mining» more  ICDM 2008»
15 years 9 months ago
Direct Zero-Norm Optimization for Feature Selection
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
Kaizhu Huang, Irwin King, Michael R. Lyu