Relaxed group low rank regression model for multi-class classification
Relaxed group low rank regression model for multi-class classification
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Contents
Least squares regression is an effective multi-classification method; however, in practical applications, many models based on the least squares regression method are significantly affected by noise (and outliers). Therefore, effectively reducing the adverse effects of noise is conducive to obtaining a better classification performance. Besides, pr...
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Full title
Relaxed group low rank regression model for multi-class classification
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TN_cdi_proquest_journals_2494716889
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2494716889
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ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-020-10080-8
