Explore the concept of kernelization in reservoir systems through this 33-minute lecture by Lyudmila Grigoryeva from the University of St. Gallen. Delivered as part of the Fourth Symposium on Machine Learning and Dynamical Systems at the Fields Institute, gain insights into the intersection of machine learning techniques and dynamical systems theory. Delve into the mathematical foundations and practical applications of kernelization in the context of reservoir computing, enhancing your understanding of advanced machine learning concepts.
Overview
Syllabus
Kernelization of Reservoir Systems
Taught by
Fields Institute