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

Provides a comprehensive review of kernel mean embeddings of distributions and, in the course of doing so, discusses some challenging issues that could potentia

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

A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.