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» On related violating pairs for working set selection in SMO ...
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ESANN
2008
13 years 6 months ago
On related violating pairs for working set selection in SMO algorithms
Sequential Minimal Optimization (SMO) is currently the most popular algorithm to solve large quadratic programs for Support Vector Machine (SVM) training. For many variants of this...
Tobias Glasmachers
JMLR
2006
89views more  JMLR 2006»
13 years 4 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 2 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
JCDL
2004
ACM
125views Education» more  JCDL 2004»
13 years 10 months ago
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Automatic generation of semantic metadata describing spatial relations is highly desirable for image digital libraries. Relative spatial relations between objects in an image conv...
Yuhang Wang, Fillia Makedon, James Ford, Li Shen, ...