Hilbert Space Embeddings in Dynamical Systems
نویسنده
چکیده
In this paper we study Hilbert space embeddings of dynamical systems and embeddings generated via dynamical systems. This is achieved by following the behavioural framework invented by Willems, namely by comparing trajectories of states. As important special cases we recover the diffusion kernels of Kondor and Lafferty, generalised versions of directed graph kernels of Gärtner, novel kernels on matrices and new similarity measures on Markov Models.
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