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Least squares twin support tensor machine for classification
Xinbin Zhao, Haifa Shi,
Meng Lv
, Ling Jing
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此作品的通讯作者
China Agricultural University
科研成果
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8
引用 (Scopus)
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探究 'Least squares twin support tensor machine for classification' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Least Squares Method
100%
Machine Learning
60%
Support Vector Machine
40%
Computation Cost
20%
Hyperplanes
20%
least square support vector machine
20%
Classification Problem
20%
Class Classification
20%
Data Representation
20%
Academic Community
20%
Mathematics
Tensor
100%
Least Square
100%
Support Vector Machine
25%
Numerical Experiment
12%
Classification Problem
12%
least square support vector machine
12%
Hyperplane
12%
Engineering
Least Square
100%
Support Vector Machine
50%
Numerical Experiment
16%
Hyperplanes
16%
Data Show
16%
Classification Problem
16%
Data Representation
16%
Core Problem
16%