921 search results - page 24 / 185 » Feature selection in scientific applications |
187
Voted
ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
161
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CEC
2010
IEEE
15 years 6 months ago
2010
IEEE
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
153
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TVCG
2012
13 years 8 months ago
2012
Abstract—We have developed an intuitive method to semi-automatically explore volumetric data in a focus-region-guided or valuedriven way using a user defined ray through the 3D ...
175
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
155
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KDD
2003
ACM
16 years 6 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...