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» Algorithm Selection and Scheduling
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BMCBI
2006
142views more  BMCBI 2006»
15 years 6 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
ICPR
2008
IEEE
16 years 8 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
ICPR
2008
IEEE
16 years 1 months ago
Fast model selection for MaxMinOver-based training of support vector machines
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...
Fabian Timm, Sascha Klement, Thomas Martinetz
EUSFLAT
2009
158views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Bi-criteria Genetic Selection of Bagging Fuzzy Rule-based Multiclassification Systems
Previously we proposed a scheme to generate fuzzy rule-based multiclassification systems by means of bagging, mutual information-based feature selection, and a multicriteria geneti...
Krzysztof Trawinski, Arnaud Quirin, Oscar Cord&oac...
VEE
2009
ACM
157views Virtualization» more  VEE 2009»
16 years 1 months ago
Task-aware virtual machine scheduling for I/O performance
The use of virtualization is progressively accommodating diverse and unpredictable workloads as being adopted in virtual desktop and cloud computing environments. Since a virtual ...
Hwanju Kim, Hyeontaek Lim, Jinkyu Jeong, Heeseung ...