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...
Saved in:
Main Author: | Santi Wulan, Purnami |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/21942/19/Enhancement%20of%20new%20smooth%20support%20vector%20machines%20for%20classification%20problems.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Support vector machine for solving imbalanced dataset problem
by: Mohd. Khairuddin, Ismail
Published: (2012) -
Support vector machine for solving small dataset problem
by: Abdul Rahman, Ahmad Rijal
Published: (2012) -
Data Mining Using Support Vector Machines
by: Chamasemani, Fereshteh Falah
Published: (2011) -
The hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification
by: Nur Syafiqah, Mohd Nafis
Published: (2022) -
Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
by: Mohammad Khamees Khaleel, Alsajri
Published: (2022)