NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS

Ph.D

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Main Author: YU HAIBIN
Other Authors: COMPUTATIONAL SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2020
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/168231
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1682312024-10-25T18:51:52Z NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS YU HAIBIN COMPUTATIONAL SCIENCE Low Kian Hsiang PATRICK JAILLET Bayeisan machine learning, Gaussian process, deep Gaussian process, variational inference Ph.D DOCTOR OF PHILOSOPHY (SOC) 2020-05-18T18:00:24Z 2020-05-18T18:00:24Z 2020-01-17 Thesis YU HAIBIN (2020-01-17). NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/168231 0000-0001-7723-6511 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Bayeisan machine learning, Gaussian process, deep Gaussian process, variational inference
spellingShingle Bayeisan machine learning, Gaussian process, deep Gaussian process, variational inference
YU HAIBIN
NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
description Ph.D
author2 COMPUTATIONAL SCIENCE
author_facet COMPUTATIONAL SCIENCE
YU HAIBIN
format Theses and Dissertations
author YU HAIBIN
author_sort YU HAIBIN
title NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
title_short NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
title_full NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
title_fullStr NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
title_full_unstemmed NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
title_sort new advances in bayesian inference for gaussian process and deep gaussian process models
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/168231
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