Working with Hyperspheres in Machine Learning part3
Sobolev Spaces, Kernels and Discrepancies over Hyperspheres(arXiv) Author : Simon Hubbert, Emilio Porcu, Chris. J. Oates, Mark Girolami Abstract : This work provides theoretical foundations for kernel methods in the hyperspherical context. Specifically, we characterise the native spaces (reproducing kernel Hilbert spaces) and the Sobolev spaces associated with kernels defined…
Working with Hyperspheres in Machine Learning part3 Sobolev Spaces, Kernels and Discrepancies over Hyperspheres(arXiv) Author : Simon Hubbert, Emilio Porcu, Chris. J. Oates, Mark Girolami Abstract : This work provides theoretical foundations for kernel methods in the hyperspherical context. Specifically, we characterise the native spaces (reproducing kernel Hilbert spaces) and the Sobolev spaces associated with kernels defined… machine-learning
Working Hyperspheres Machine Learning part3 Sobolev Spaces Kernels Discrepancies HyperspheresarXiv Author Simon Hubbert Emilio Porcu Chris J Oates Mark Girolami Abstract work provides theoretical foundation kernel method hyperspherical context Specifically characterise native space reproducing kernel Hilbert space Sobolev space associated kernel defined… machinelearning