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 |
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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
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Online Access: | |
Physical Description: | 1 online resource (73 pages) |
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100 | 1 | |a Magnusson, Måns. | |
245 | 1 | 0 | |a Scalable and Efficient Probabilistic Topic Model Inference for Textual Data. |
250 | |a 1st ed. | ||
264 | 1 | |a Linköping : |b Linkopings Universitet, |c 2018. | |
264 | 4 | |c {copy}2018. | |
300 | |a 1 online resource (73 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Linköping Studies in Arts and Sciences Series ; |v v.743 | |
505 | 0 | |a 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. | |
588 | |a Description based on publisher supplied metadata and other sources. | ||
590 | |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
655 | 4 | |a Electronic books. | |
776 | 0 | 8 | |i Print version: |a Magnusson, Måns |t Scalable and Efficient Probabilistic Topic Model Inference for Textual Data |d Linköping : Linkopings Universitet,c2018 |
797 | 2 | |a ProQuest (Firm) | |
830 | 0 | |a Linköping Studies in Arts and Sciences Series | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5374811 |z Click to View |