Initializing Deep Learning based on Latent Dirichlet Allocation for Document Classification

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dc.contributor.authorJeon, Hyung-Baeko
dc.contributor.authorLee, Soo-Youngko
dc.date.accessioned2017-01-03T07:36:40Z-
dc.date.available2017-01-03T07:36:40Z-
dc.date.created2016-11-17-
dc.date.created2016-11-17-
dc.date.created2016-11-17-
dc.date.issued2016-10-20-
dc.identifier.citationThe 23rd International Conference on Neural Information Processing (ICONIP2016)-
dc.identifier.urihttp://hdl.handle.net/10203/215626-
dc.languageEnglish-
dc.publisherAsia Pacific Neural Network Society, Japanese Neural Network Society-
dc.titleInitializing Deep Learning based on Latent Dirichlet Allocation for Document Classification-
dc.typeConference-
dc.identifier.wosid000389805200070-
dc.identifier.scopusid2-s2.0-84992735533-
dc.type.rimsCONF-
dc.citation.publicationnameThe 23rd International Conference on Neural Information Processing (ICONIP2016)-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationKyoto University, Kyoto-
dc.contributor.localauthorLee, Soo-Young-
dc.contributor.nonIdAuthorJeon, Hyung-Bae-
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EE-Conference Papers(학술회의논문)
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