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On the Precise Error Analysis of Support Vector Machines
Abla Kammoun
,
Mohamed-Slim Alouini
Computer, Electrical and Mathematical Sciences and Engineering
Electrical and Computer Engineering
Physical Sciences and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
25
Scopus citations
Overview
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Dive into the research topics of 'On the Precise Error Analysis of Support Vector Machines'. Together they form a unique fingerprint.
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Mathematics
Support Vector Machine
100%
Gaussian Distribution
40%
Number
40%
Training Sample
20%
Asymptotic Behavior
20%
Min-Max
20%
Asymptotic Limit
20%
Numerical Experiment
20%
Error Rate
20%
Mixture Distribution
20%
Computer Science
Support Vector Machine
100%
Classifier
20%
Classification Performance
20%
Training Sample
20%
Performance Comparison
20%
Classification Error
20%
Gaussian Mixture
20%
Keyphrases
Soft Margin Support Vector Machine
100%
Soft Margin
50%
Economics, Econometrics and Finance
Gaussian Distribution
100%
Asymptotic Behavior
50%