Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.

Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.

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Superior document:Linköping Studies in Arts and Sciences Series ; v.743
:
Magnusson, Måns.
Place / Publishing House:Linköping : : Linkopings Universitet,, 2018.
{copy}2018.
Year of Publication:2018
Edition:1st ed.
Language:English
Series:Linköping Studies in Arts and Sciences Series
Online Access:
Physical Description:1 online resource (73 pages)
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(Au-PeEL)EBL5374811
(CaPaEBR)ebr11552366
(OCoLC)1034638839
collection bib_alma
record_format marc
spelling Magnusson, Måns.
Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
1st ed.
Linköping : Linkopings Universitet, 2018.
{copy}2018.
1 online resource (73 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Linköping Studies in Arts and Sciences Series ; v.743
Intro -- ABSTRACT -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- Introduction -- Background -- Motivation -- Research questions -- Thesis outline -- Bayesian inference -- Bayesian epistemology and confirmation theory -- Bayesian statistical inference -- Examples of probabilistic models -- Simulation-based statistical inference -- Probabilistic latent semantic modeling of text -- Modeling semantics -- Probabilistic modeling of textual data -- Latent semantic modeling -- Probabilistic topic models -- Practical curation of corpora and the implications for inference -- Research Questions and Summary of Contributions -- Research questions -- Summary of Contributions -- Extensions and future research -- Bibliography.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Print version: Magnusson, Måns Scalable and Efficient Probabilistic Topic Model Inference for Textual Data Linköping : Linkopings Universitet,c2018
ProQuest (Firm)
Linköping Studies in Arts and Sciences Series
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5374811 Click to View
language English
format eBook
author Magnusson, Måns.
spellingShingle Magnusson, Måns.
Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
Linköping Studies in Arts and Sciences Series ;
Intro -- ABSTRACT -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- Introduction -- Background -- Motivation -- Research questions -- Thesis outline -- Bayesian inference -- Bayesian epistemology and confirmation theory -- Bayesian statistical inference -- Examples of probabilistic models -- Simulation-based statistical inference -- Probabilistic latent semantic modeling of text -- Modeling semantics -- Probabilistic modeling of textual data -- Latent semantic modeling -- Probabilistic topic models -- Practical curation of corpora and the implications for inference -- Research Questions and Summary of Contributions -- Research questions -- Summary of Contributions -- Extensions and future research -- Bibliography.
author_facet Magnusson, Måns.
author_variant m m mm
author_sort Magnusson, Måns.
title Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
title_full Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
title_fullStr Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
title_full_unstemmed Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
title_auth Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
title_new Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
title_sort scalable and efficient probabilistic topic model inference for textual data.
series Linköping Studies in Arts and Sciences Series ;
series2 Linköping Studies in Arts and Sciences Series ;
publisher Linkopings Universitet,
publishDate 2018
physical 1 online resource (73 pages)
edition 1st ed.
contents Intro -- ABSTRACT -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- Introduction -- Background -- Motivation -- Research questions -- Thesis outline -- Bayesian inference -- Bayesian epistemology and confirmation theory -- Bayesian statistical inference -- Examples of probabilistic models -- Simulation-based statistical inference -- Probabilistic latent semantic modeling of text -- Modeling semantics -- Probabilistic modeling of textual data -- Latent semantic modeling -- Probabilistic topic models -- Practical curation of corpora and the implications for inference -- Research Questions and Summary of Contributions -- Research questions -- Summary of Contributions -- Extensions and future research -- Bibliography.
isbn 9789176852880
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5374811
illustrated Not Illustrated
oclc_num 1034638839
work_keys_str_mv AT magnussonmans scalableandefficientprobabilistictopicmodelinferencefortextualdata
status_str n
ids_txt_mv (MiAaPQ)5005374811
(Au-PeEL)EBL5374811
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(OCoLC)1034638839
carrierType_str_mv cr
hierarchy_parent_title Linköping Studies in Arts and Sciences Series ; v.743
is_hierarchy_title Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
container_title Linköping Studies in Arts and Sciences Series ; v.743
marc_error Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ]
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