Art

J-GLOBAL ID：201702293756685357   Reference number：17A1913659

Bayesian nonparametric model for uncountable factor analysis

連続な無限因子モデル

Author (4)： NAKANO MASAHIRO (NTT コミュニケーション科学基礎研) ,  MOCHIHASHI DAICHI (統計数理研) ,  MATSUI TOMOKO (統計数理研) ,  KASHINO KUNIO (NTT コミュニケーション科学基礎研)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 117  Issue： 293(IBISML2017 35-89)  Page： 185-192  Publication year： Nov. 02, 2017 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： model ,  dimension ,  *factor analysis ,  stochastic model ,  *stochastic process ,  *non-parametric method ,  Bayes estimation ,  machine learning ,  wooden structure ,  approximation method ,  music ,  resolving power ,  series
Semi thesaurus term： *nonparametric method ,  fitting (approximation) ,  factor models ,  multiple resolution ,  infinite dimension

JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (27)：

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• GRIFFITHS, T. and GHAHRAMANI, Z. (2002). In nite latent feature modelsand the indian buffet process., In Advances in Neu-ral Information Processing Systems, 2005.
• CRANE, H. (2012) Infinitely exchangeable partition, tree and graph-valued stochastic process, PhD thesis, Department of Statistics, The University of Chicago.
• TEH, Y. W. , JORDAN, M. I. , BEAL, M. J. and BLEI, D. M. (2006). Hierarchical Dirichlet Processes. Journal of the American Statistical Association, 101(476):1566-1581.
• ADAMS, R. P, GHAHRAMANI, Z, JORDAN, M. I (2010). Tree-Structured Stick Breaking for Hierarchical Data. Advances in Neural Information Processing Systems, 23. 19-27.

Terms in the title (2)： 無限 ,  因子モデル