Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Industrial and Applied Mathematics
|
| Schlagworte: | |
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| Beschreibung: | 1 Online-Ressource (XIV, 305 p. 83 illus., 58 illus. in color) |
| ISBN: | 9789811965531 |
| ISSN: | 2364-6845 |
| DOI: | 10.1007/978-981-19-6553-1 |
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| spellingShingle | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications Field Theory and Polynomials Optimization Data Analysis and Big Data Machine Learning Automated Pattern Recognition Python Algebraic fields Polynomials Mathematical optimization Quantitative research Machine learning Pattern recognition systems Python (Computer program language) |
| title | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications |
| title_auth | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications |
| title_exact_search | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications |
| title_exact_search_txtP | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications |
| title_full | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications edited by Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty |
| title_fullStr | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications edited by Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty |
| title_full_unstemmed | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications edited by Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty |
| title_short | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines |
| title_sort | learning with fractional orthogonal kernel classifiers in support vector machines theory algorithms and applications |
| title_sub | Theory, Algorithms and Applications |
| topic | Field Theory and Polynomials Optimization Data Analysis and Big Data Machine Learning Automated Pattern Recognition Python Algebraic fields Polynomials Mathematical optimization Quantitative research Machine learning Pattern recognition systems Python (Computer program language) |
| topic_facet | Field Theory and Polynomials Optimization Data Analysis and Big Data Machine Learning Automated Pattern Recognition Python Algebraic fields Polynomials Mathematical optimization Quantitative research Machine learning Pattern recognition systems Python (Computer program language) |
| url | https://doi.org/10.1007/978-981-19-6553-1 |
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