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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-03
16:45		 Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)		 Visualization of diverse solutions with different number of topics in topic models
Toshio Uchiyama, Tsukasa Hokimoto (HIU) IBISML2023-44		 The Latent Dirichlet analysis is known as a topic model that is useful
for analyzing data such as documents. The hiera... [more]		 IBISML2023-44
pp.29-35
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:40		 Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)		 On the analysis of diverse solutions in topic models
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2022-124 IBISML2022-131		 Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are known as topic models to analyze text data and ... [more] PRMU2022-124 IBISML2022-131
pp.355-362
PRMU 2020-09-02
10:00		 Online Online A method for clarifying differences between feature distributions of various solutions about topic model
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2020-8		 Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more]		 PRMU2020-8
pp.1-6
PRMU 2019-12-19
10:30		 Oita   A switching Markov model for evaluation of food functionality
Tsukasa Hokimoto, Toshio Uchiyama (HIU) PRMU2019-46		 For analytic purposes of the scientific processes on how food influence our health, the measurement data on medical or g... [more] PRMU2019-46
pp.1-6
PRMU 2019-12-20
10:00		 Oita   Analysis method and results of solution diversity about topic model
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2019-54		 Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more]		 PRMU2019-54
pp.49-54
 Results 1 - 5 of 5  /   
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