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03/09/2023
Fredholm integral equations for function approximation and the training of neural networks
We present a novel and mathematically transparent approach to function a...
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03/31/2021
Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
We derive symmetric and antisymmetric kernels by symmetrizing and antisy...
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11/25/2020
Feature space approximation for kernel-based supervised learning
We propose a method for the approximation of high- or even infinite-dime...
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10/04/2019
Tensor-based algorithms for image classification
The interest in machine learning with tensor networks has been growing r...
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08/12/2019