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positive-definite kernels

topic1 events
papersSEP 10 04:00 UTC

Monograph Maps Connections Between Gaussian Processes and Kernel Hilbert Spaces

A newly updated arXiv monograph examines the relationship between two kernel-based machine learning traditions: probabilistic modeling with Gaussian processes and non-probabilistic methods built on reproducing kernel Hilbert spaces. The work lays out the mathematical connections and equivalences between the two approaches, providing a unified theoretical treatment of positive definite kernel techniques.

gaussian-processes/kernel-methods/theory/machine-learning