The book covers theoretical questions including the latest extension of the formalism, and computational issues and focuses on some of the more fruitful and pro

A unique introduction to reproducing kernel Hilbert spaces, covering the fundamental underlying theory as well as a range of applications.

Reproducing kernel Hilbert spaces are elucidated without assuming prior familiarity with Hilbert spaces. Compared with extant pedagogic material, greater care i

A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, a

The book first rigorously develops the theory of reproducing kernel Hilbert spaces. The authors then discuss the Pick problem of finding the function of smalles