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» Learning with Rigorous Support Vector Machines
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COLT
2003
Springer
15 years 4 months ago
Learning with Rigorous Support Vector Machines
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
Jinbo Bi, Vladimir Vapnik
79
Voted
FLAIRS
2003
15 years 5 days ago
Optimizing F-Measure with Support Vector Machines
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
David R. Musicant, Vipin Kumar, Aysel Ozgur
RECOMB
2007
Springer
15 years 11 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...
152
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COLT
2006
Springer
15 years 2 months ago
Learning Bounds for Support Vector Machines with Learned Kernels
Nathan Srebro, Shai Ben-David