M. Ebden. (2015)cite arxiv:1505.02965Comment: 13 pages: 6 for regression, 5 for classification, 2 for dimensionality reduction.
Abstract
A gentle introduction to Gaussian processes (GPs). The three parts of the
document consider GPs for regression, classification, and dimensionality
reduction.
%0 Generic
%1 ebden2015gaussian
%A Ebden, Mark
%D 2015
%K machinelearn statistics
%T Gaussian Processes: A Quick Introduction
%U http://arxiv.org/abs/1505.02965
%X A gentle introduction to Gaussian processes (GPs). The three parts of the
document consider GPs for regression, classification, and dimensionality
reduction.
@misc{ebden2015gaussian,
abstract = {A gentle introduction to Gaussian processes (GPs). The three parts of the
document consider GPs for regression, classification, and dimensionality
reduction.},
added-at = {2019-03-16T21:19:04.000+0100},
author = {Ebden, Mark},
biburl = {https://www.bibsonomy.org/bibtex/2d8ac1123c330a005fbeee556952fa011/cmcneile},
description = {Gaussian Processes: A Quick Introduction},
interhash = {97ef40bae8fee7b5ddaba63e603d156a},
intrahash = {d8ac1123c330a005fbeee556952fa011},
keywords = {machinelearn statistics},
note = {cite arxiv:1505.02965Comment: 13 pages: 6 for regression, 5 for classification, 2 for dimensionality reduction},
timestamp = {2019-03-16T21:19:04.000+0100},
title = {Gaussian Processes: A Quick Introduction},
url = {http://arxiv.org/abs/1505.02965},
year = 2015
}