Parameter Optimization of Polynomial Kernel SVM from miniCV
Abstract
References
Index Terms
- Parameter Optimization of Polynomial Kernel SVM from miniCV
Recommendations
Wavelet twin support vector machines based on glowworm swarm optimization
Twin support vector machine is a machine learning algorithm developing from standard support vector machine. The performance of twin support vector machine is always better than support vector machine on datasets that have cross regions. Recently ...
Multi-Classification by Using Tri-Class SVM
The standard form for dealing with multi-class classification problems when bi-classifiers are used is to consider a two-phase (decomposition, reconstruction) training scheme. The most popular decomposition procedures are pairwise coupling (one versus ...
Parameter investigation of support vector machine classifier with kernel functions
AbstractSupport vector machine (SVM) is one of the well-known learning algorithms for classification and regression problems. SVM parameters such as kernel parameters and penalty parameter have a great influence on the complexity and performance of ...
Comments
Information & Contributors
Information
Published In
![cover image Guide Proceedings](/cms/asset/4ab2a7ba-8faa-4b2f-8cc8-0be69e21dff2/978-3-030-37599-7.cover.jpg)
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in