Latent Dirichlet Allocation (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Latent Dirichlet Allocation" in German language version.

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apa.org

doi.apa.org

  • Kenneth Tyler Wilcox, Ross Jacobucci, Zhiyong Zhang, Brooke A. Ammerman: Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates. In: Psychological Methods. Band 28, Nr. 5, Oktober 2023, ISSN 1939-1463, S. 1178–1206, doi:10.1037/met0000541 (apa.org).

bham.ac.uk

cs.bham.ac.uk

  • Mark Girolami, Kaban, A.: On an Equivalence between PLSI and LDA. Proceedings of SIGIR 2003. Association for Computing Machinery, New York 2003, ISBN 1-58113-646-3 (englisch, bham.ac.uk [PDF]).

doi.org

genetics.org

  • J. K. Pritchard, M. Stephens, P. Donnelly: Inference of population structure using multilocus genotype data. In: Genetics. 155. Jahrgang, Nr. 2, Juni 2000, ISSN 0016-6731, S. 945–959 (genetics.org).

ieee.org

ieeexplore.ieee.org

ismir.net

transactions.ismir.net

  • Robert Lieck, Fabian C. Moss, Martin Rohrmeier: The Tonal Diffusion Model. In: Transactions of the International Society for Music Information Retrieval. Band 3, Nr. 1, 16. Oktober 2020, ISSN 2514-3298, doi:10.5334/tismir.46 (ismir.net).

jmir.org

  • Maria A Parker, Danny Valdez, Varun K Rao, Katherine S Eddens, Jon Agley: Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses. In: Journal of Medical Internet Research. Band 25, 28. Juli 2023, ISSN 1438-8871, S. e48405, doi:10.2196/48405, PMID 37505795, PMC 10422173 (freier Volltext) – (jmir.org).

mit.edu

jmlr.csail.mit.edu

neurips.cc

proceedings.neurips.cc

  • Jon Mcauliffe, David Blei: Supervised Topic Models. In: Advances in Neural Information Processing Systems. Nr. 20, 2007, S. 121–128 (neurips.cc).

nih.gov

ncbi.nlm.nih.gov

springer.com

link.springer.com

zdb-katalog.de

  • J. K. Pritchard, M. Stephens, P. Donnelly: Inference of population structure using multilocus genotype data. In: Genetics. 155. Jahrgang, Nr. 2, Juni 2000, ISSN 0016-6731, S. 945–959 (genetics.org).
  • Robert Lieck, Fabian C. Moss, Martin Rohrmeier: The Tonal Diffusion Model. In: Transactions of the International Society for Music Information Retrieval. Band 3, Nr. 1, 16. Oktober 2020, ISSN 2514-3298, doi:10.5334/tismir.46 (ismir.net).
  • Kenny Chiu, David M. Clark, Eleanor Leigh: Characterising Negative Mental Imagery in Adolescent Social Anxiety. In: Cognitive Therapy and Research. Band 46, Nr. 5, Oktober 2022, ISSN 0147-5916, S. 956–966, doi:10.1007/s10608-022-10316-x, PMID 36156987, PMC 9492563 (freier Volltext) – (springer.com).
  • Kenneth Tyler Wilcox, Ross Jacobucci, Zhiyong Zhang, Brooke A. Ammerman: Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates. In: Psychological Methods. Band 28, Nr. 5, Oktober 2023, ISSN 1939-1463, S. 1178–1206, doi:10.1037/met0000541 (apa.org).
  • Caitlin Doogan Poet Laureate, Wray Buntine, Henry Linger: A systematic review of the use of topic models for short text social media analysis. In: Artificial Intelligence Review. Band 56, Nr. 12, Dezember 2023, ISSN 0269-2821, S. 14223–14255, doi:10.1007/s10462-023-10471-x, PMID 37362887, PMC 10150353 (freier Volltext) – (springer.com).
  • Maria A Parker, Danny Valdez, Varun K Rao, Katherine S Eddens, Jon Agley: Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses. In: Journal of Medical Internet Research. Band 25, 28. Juli 2023, ISSN 1438-8871, S. e48405, doi:10.2196/48405, PMID 37505795, PMC 10422173 (freier Volltext) – (jmir.org).