Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines (eBook, PDF)
eBook, PDF

Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines (eBook, PDF)

Theory, Algorithms and Applications

Redaktion: Rad, Jamal Amani; Chakraverty, Snehashish; Parand, Kourosh
Versandkostenfrei!
Sofort per Download lieferbar
113,95 €
inkl. MwSt.
Alle Infos zum eBook verschenken
Weitere Ausgaben:
PAYBACK Punkte
57 °P sammeln!
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 exhi...

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.