Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines Theory, Algorithms and Applications /

This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel...

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Bibliographische Detailangaben

Körperschaft:	SpringerLink (Online service)
Weitere Verfasser:	Rad, Jamal Amani (HerausgeberIn), Parand, Kourosh (HerausgeberIn), Chakraverty, Snehashish (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Ausgabe:	1st ed. 2023.
Schriftenreihe:	Industrial and Applied Mathematics,
Schlagworte:	Algebraic fields. Polynomials. Mathematical optimization. Quantitative research. Machine learning. Pattern recognition systems. Python (Computer program language). Field Theory and Polynomials. Optimization. Data Analysis and Big Data. Machine Learning. Automated Pattern Recognition. Python.
Online-Zugang:	https://doi.org/10.1007/978-981-19-6553-1
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