scholarly journals A New Method to Determine Data Membership and Find Noise and Outlier Data Using Fuzzy Support Vector Machine

2018 ◽  
Vol 15 (3) ◽  
pp. 101-112
Author(s):  
Mona Khodagholi ◽  
Ardeshir Dolati ◽  
Ali Hosseinzadeh ◽  
khashayar Shamsolketabi
Keyword(s):  
Support Vector Machine ◽  
New Method ◽  
Support Vector ◽  
Fuzzy Support Vector Machine ◽  
Outlier Data

An New Fuzzy Support Vector Machine for Binary Classification

2012 ◽  
Vol 433-440 ◽  
pp. 2856-2861 ◽  
Author(s):  
Rui Zhang ◽  
Tong Bo Liu ◽  
Ming Wen Zheng
Keyword(s):  
Support Vector Machine ◽  
Binary Classification ◽  
Experimental Results ◽  
New Method ◽  
Support Vector ◽  
Fuzzy Support Vector Machine

In this paper, we proposed a new fuzzy support vector machine(called L2–FSVM here), which error part of object is L2–norm.Meanwhile we introduce a new method of generating fuzzy memberships so as to reduce to effects of outliers. The experimental results demonstrate that the L2-FSVM method provides improved ability to reduce to effects of outliers in comparison with traditional SVMs and FSVMs, and claim that L2–FSVM is the best way to solve the binary classification in the three methods stated above.

Detection of Dendritic Spines Using Wavelet Packet Entropy and Fuzzy Support Vector Machine

2017 ◽  
Vol 16 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Shuihua Wang ◽  
Yang Li ◽  
Ying Shao ◽  
Carlo Cattani ◽  
Yudong Zhang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Dendritic Spines ◽  
Wavelet Packet ◽  
Support Vector ◽  
Fuzzy Support Vector Machine
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