An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces
An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces
English | 2022 | ISBN: 3030983153 | 160 Pages | PDF EPUB | 12 MB
English | 2022 | ISBN: 3030983153 | 160 Pages | PDF EPUB | 12 MB
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 from regularization theory, can be effectively used in the design and justification of kernel learning algorithms, which can address problems in several areas of artificial intelligence. Also provided is a detailed description of two biomedical applications of the considered algorithms, demonstrating how close the theory is to being practically implemented.