Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines

Language: English

Published by Springer, Springer Mär 2023, 2023

9811965528 / 9789811965524

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This item is printed on demand - Print on Demand Titel. Neuware -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 functions¿Chebyshev, Legendre, Gegenbauer, and Jacobi¿are reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations.On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all machine learning and scientific machine learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch.

Seller Inventory # 9789811965524

Title
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines
Author
Jamal Amani Rad
Publisher
Springer, Springer Mär 2023
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9811965528
ISBN 13
9789811965524
Item weight
647 grams
Dimensions
241x160x23 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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