Art

J-GLOBAL ID：201702291143286913   Reference number：17A0869732

Expectation Propagation for t-Exponential Family

t指数型分布族に対する期待値伝播法

Author (6)： FUTAMI Futoshi (Univ. Tokyo) ,  FUTAMI Futoshi (RIKEN) ,  SATO Issei (Univ. Tokyo) ,  SATO Issei (RIKEN) ,  SUGIYAMA Masashi (RIKEN) ,  SUGIYAMA Masashi (Univ. Tokyo)
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： 110(IBISML2017 1-10)  Page： 179-184  Publication year： Jun. 16, 2017 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： exponential distribution ,  *machine learning ,  expectation value ,  learning algorithm ,  physics ,  *classification
Semi thesaurus term： class separation ,  期待値伝播アルゴリズム ,  擬似加算性 ,  statistical physics

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Numerical computation  (JE02000J)

Reference (15)：

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• C. E. Rasmussen and C.K.I. Williams: Gaussian Processes for Machine Learning. The MIT Press,2006
• P. Jylanki, J. Vanhatalo, and A. Vehtari: Robust Gaussian Process Regression with a Student-t Likelihood. The Journal of Machine Learning Research,12, 3227-3257,2011
• A. Shah, A. Wilson, and Z. Ghahramani: Student-t Processes as Al-ternatives to Gaussian Processes. Proceedings of the 17th International Conference on Artificial Intelligence and Statistics,2014
• N. Ding and S.v.n. Vishwanathan: t-logistic regression. Advances in Neural Information Processing Systems 23,2010

Terms in the title (4)： 指数 ,  分布 ,  期待値 ,  伝播