An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces
This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks. The author demonstrates how the concept of reproducing kernel Hilbert Spaces (RKHS), accompanied with tools...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing
2022.
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| Edición: | 1st ed |
| Colección: | Springer eBooks.
Compact Textbooks in Mathematics, |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b47165625*spi |
Tabla de Contenidos:
- Introduction
- Learning in Reproducing Kernel Hilbert Spaces and related integral operators
- Selected topics of the regularization theory
- Regularized learning in RKHS
- Examples of Applications.
