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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 8 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
IPSN
2010
Springer
16 years 1 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
TPDS
2008
92views more  TPDS 2008»
15 years 6 months ago
Max-Min Fair Scheduling in Input-Queued Switches
Fairness in traffic management can improve the isolation between traffic streams, offer a more predictable performance, eliminate transient bottlenecks, mitigate the effect of cer...
Madhusudan Hosaagrahara, Harish Sethu
OPODIS
2010
15 years 4 months ago
Biased Selection for Building Small-World Networks
Abstract. Small-world networks are currently present in many distributed applications and can be built augmenting a base network with long-range links using a probability distribut...
Andrés Sevilla, Alberto Mozo, M. Araceli Lo...
ICONIP
2008
15 years 8 months ago
Local Feature Selection in Text Clustering
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...