Art

J-GLOBAL ID：201102274713199810   Reference number：11A1607703

Adaptive Online Prediction Using Weighted Windows

重み付けウィンドウを用いた適応型オンライン予測

Author (4)： YOSHIDA Shin-ichi (NTT West) ,  HATANO Kohei (Dep. of Informatics, Kyushu Univ.) ,  TAKIMOTO Eiji (Dep. of Informatics, Kyushu Univ.) ,  TAKEDA Masayuki (Dep. of Informatics, Kyushu Univ.)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E94-D  Issue： 10  Page： 1917-1923 (J-STAGE)  Publication year： 2011 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： weighting ,  *online processing ,  *forecast ,  *machine learning ,  characteristic ,  length ,  time varying system
Semi thesaurus term： window ,  *online learning ,  *sliding window ,  *data stream ,  specialist ,  adaptation algorithm ,  predictor

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Statistics  (AB08000H)

Reference (20)：

• MUTHUKRISHNAN, S. Data streams : Algorithms and applications. Foundations and Trends in Theoretical Computer Science. 2005, 1, 2
• AGGARWAL, C. C. ed. Data Streams : Models and Algorithms. 2007
• BIFET, A. Learning from time-changing data with adaptive windowing. Proc. 7th SIAM International Conference on Data Mining (SDM'07). 2007, 443-449
• GAMA, J. Learning with drift detection. SBIA Brazilian Symposium on Artificial Intelligence, 2004. 2004, 286-295
• KLINKENBERG, R. Detecting concept drift with support vector machines. Proc. International Conference on Machine Learning (ICML), 2000. 2000

Terms in the title (4)： 重み付け ,  ウィンドウ ,  オンライン ,  予測