Learning Transfer Operators by Kernel Density Estimation

Learning Transfer Operators by Kernel Density Estimation

Explore a comprehensive lecture on learning transfer operators through kernel density estimation, presented by Erik Bollt from Clarkson University at the Fourth Symposium on Machine Learning and Dynamical Systems. Delve into advanced concepts at the intersection of machine learning and dynamical systems, gaining insights into innovative techniques for estimating transfer operators. Discover how kernel density estimation can be applied to enhance understanding and analysis of complex dynamical systems.