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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.

arXivReproducing Kernel Hilbert Spacesgaussian-processeskernel-methodsmachine-learning-theorypositive-definite kernels

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGGaussian Processes and Reproducing Kernel Hilbert Spaces: Connections and Equivalences ↗SEP 10 04:00 UTC

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