Art

J-GLOBAL ID：201802260918091009   Reference number：18A0053464

Graph-based composite local Bregman divergences on discrete sample spaces

離散サンプル空間上のグラフベース複合局所Bregman発散

Author (2)： Kanamori Takafumi (Nagoya University, RIKEN Center for Advanced Intelligence Project, Furocho, Chikusaku, Nagoya 464-8603, Japan) ,  Takenouchi Takashi (Future University Hakodate, RIKEN Center for Advanced Intelligence Project, 116-2 Kamedanakano, Hakodate, Hokkaido, 040-8655, Japan)
Material： Neural Networks  (Neural Netw)
Volume： 95  Page： 44-56  Publication year： Nov. 2017 
JST Material Number： T0698A  ISSN： 0893-6080  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Thesaurus term： *statistical estimation ,  *graph theory ,  discrete system ,  algorithm ,  distance measurement ,  undirected graph ,  modeling ,  integrity ,  estimator
Semi thesaurus term： Bregman divergence ,  estimator ,  *statistical inference ,  discrete system

Author keywords (5)： Scoring rule ,  Bregman divergence ,  Coincidence axiom ,  Locality ,  Robustness

JST classification (2)： System and control theory in general  (IA02010H) ,  Basics of graph theory  (IA02020S)

Reference (35)：

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Terms in the title (3)： サンプル ,  グラフ ,  発散