Kernel methods for vector output
id:
kernel-methods-for-vector-output-246-922725
title:
Kernel methods for vector output
text:
Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels encapsulate the properties of functions in a computationally efficient way and allow algorithms to easily swap functions of varying complexity. In typical machine learning algorithms, these functions produce a scalar output. Recent development of kernel methods for functions with vector-valued output is due, at least in part, to interest in simultaneously
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wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Kernel_methods_for_vector_output
date created:
date modified:
2024-03-25T02:42:55Z
main entity:
{"identifier":"Q17100712","url":"https://www.wikidata.org/entity/Q17100712"}
image:
fields total:
13
integrity:
13