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The F
∞
-norm support vector machine
Zou Hui
, Yuan Ming
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
78
Scopus citations
Overview
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Dive into the research topics of 'The F
∞
-norm support vector machine'. Together they form a unique fingerprint.
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Mathematics
Support Vector Machine
73%
Norm
35%
Feature Selection
11%
Continuous Variables
9%
Basis Functions
8%
Clustering
7%
Categorical
7%
Predictors
7%
Linear programming
7%
Methodology
6%
Performance
4%
Standards
4%
Model
2%
Business & Economics
Support Vector Machine
100%
Feature Selection
13%
Factors
11%
Dummy Variables
9%
Predictors
8%
Linear Programming
7%
Clustering
7%
Methodology
4%
Performance
3%