Research and improvement of multiclass pattern classifier based on vector machine learning algorithm

Keywords

Relevance vector machine, Support vector machine, Multiclass classification, Artificial intelligence, Structured support vector machine

References

No references recorded for this paper.

Cited by

• Probabilities modeling of multi-class based on relevance vector machineRui Li, Xiaodan Wang, Lei Lei — 2016

Related papers

• A Novel Feature Selection Method for Output Coding based Multiclass SVMYoungjoo Lee, Jeongjin Lee — 2013
• The Research of Simplification of Structure of Multi-class Classifier of Support Vector MachineYanfeng Gu — 2005
• Pre-extracting method for SVM classification based on the non-parametric K-NN ruleDeqiang Han, Chongzhao Han, Yi Yang — 2008
• Research and Design of Image Feature Recognition Classifier Based on SVMKai Song, Yu‐Liang Chang — 2009
• Improved Algorithm for Adaboost with SVM Base ClassifiersXiaodan Wang, Chongming Wu, Chunying Zheng — 2006
• Diminishing learning based SVM classifier with non-linear kernelsJ. Manikandan, B. Venkataramani — 2008
• An Improved Parallel SVM Algorithm for Chinese Text ClassificationShengli Zhang — 2012
• Texture image classification based on support vector machine and distance classificationYongjun Ma, Tingjian Fang, Kai Fang — 2002
• Application of support vector machine to pattern classificationHong Men, Yujie Wu, Yanchun Gao — 2008