Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications /
Contiene: 1) Introducción al método de mínimos cuadrados (MVC); 2) Fundamentos del método de mínimos cuadrados (MVC) y MVC; 3) Funciones Kernel de Tchebychev fraccionales: teoría y aplicación; 4) Funciones Kernel de Legendre fraccionales: teoría y aplicación; 5) Funciones Kernel de Gegenbauer fracci...
Wedi'i Gadw mewn:
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| Awduron Eraill: | , |
| Fformat: | Llyfr |
| Iaith: | Saesneg |
| Cyhoeddwyd: |
Singapur :
Springer,
2023, c2023
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| Cyfres: | (Industrial and Applied Mathematics)
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| Pynciau: | |
| Mynediad Ar-lein: | Ver documento en línea |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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Eitemau Tebyg: Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines :
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods /
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods /
- Advances in Kernel Methods : Support Vector Learning /
- Support Vector Machines : Optimization Based Theory, Algorithms, and Extensions /
- Computationally Stable QCQP and SDP Multikernel Support Vector Regression Formulations /
- A Generalized Lagrange Multiplier Method Based for Support Vector Classification /