Enhancement of new smooth support vector machines for classification problems

Research on Smooth Support Vector Machine (SSVM) for classification problem is an active field in data mining. SSVM is reformulation of standard Support Vector Machines (SVM). In SSVM, smoothing technique must be applied to convert constraint optimization to the unconstraint optimization problem sin...

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Bibliographic Details
Main Author: Santi Wulan, Purnami
Format: Thesis
Language:English
English
English
Published: 2011
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/21942/
http://umpir.ump.edu.my/id/eprint/21942/
http://umpir.ump.edu.my/id/eprint/21942/1/Enhancement%20of%20new%20smooth%20support%20vector%20machines%20for%20classification%20problems%20-%20Table%20of%20contents.pdf
http://umpir.ump.edu.my/id/eprint/21942/2/Enhancement%20of%20new%20smooth%20support%20vector%20machines%20for%20classification%20problems%20-%20Abstract.pdf
http://umpir.ump.edu.my/id/eprint/21942/3/Enhancement%20of%20new%20smooth%20support%20vector%20machines%20for%20classification%20problems%20-%20References.pdf