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Large scale multi-output multi-class classification using Gaussian processes

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Bibliographic Details
Main Authors: Chunchao, Ma, Mauricio A., Álvarez
Format: Book
Language:English
Published: Springer 2023
Subjects:
MOGPs
multi-output binary classification
Online Access:https://link.springer.com/article/10.1007/s10994-022-06289-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7349
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spelling oai:localhost:PNK-73492023-03-30T09:31:31Z Large scale multi-output multi-class classification using Gaussian processes Chunchao, Ma Mauricio A., Álvarez MOGPs multi-output binary classification CC BY Multi-output Gaussian processes (MOGPs) can help to improve predictive performance for some output variables, by leveraging the correlation with other output variables. In this paper, our main motivation is to use multiple-output Gaussian processes to exploit correlations between outputs where each output is a multi-class classification problem. MOGPs have been mostly used for multi-output regression. There are some existing works that use MOGPs for other types of outputs, e.g., multi-output binary classification. 2023-03-30T09:31:30Z 2023-03-30T09:31:30Z 2023 Book https://link.springer.com/article/10.1007/s10994-022-06289-3 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7349 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic MOGPs
multi-output binary classification
spellingShingle MOGPs
multi-output binary classification
Chunchao, Ma
Mauricio A., Álvarez
Large scale multi-output multi-class classification using Gaussian processes
description CC BY
format Book
author Chunchao, Ma
Mauricio A., Álvarez
author_facet Chunchao, Ma
Mauricio A., Álvarez
author_sort Chunchao, Ma
title Large scale multi-output multi-class classification using Gaussian processes
title_short Large scale multi-output multi-class classification using Gaussian processes
title_full Large scale multi-output multi-class classification using Gaussian processes
title_fullStr Large scale multi-output multi-class classification using Gaussian processes
title_full_unstemmed Large scale multi-output multi-class classification using Gaussian processes
title_sort large scale multi-output multi-class classification using gaussian processes
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10994-022-06289-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7349
_version_ 1761912523124113408
score 8.891053

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