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J-GLOBAL ID：201002217015422647
Reference number：10A0440792
Output Divergence Criterion for Active Learning in Collaborative Settings
コラボレーション環境におけるアクティブ学習のための出力相違基準
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Author (3)：
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Material：
Volume：
2009
Issue：
2
Page：
SURIMODERU.VOL.2,NO.3,87-96
Publication year：
Apr. 15, 2010
JST Material Number：
L7379A
ISSN：
1882-7772
Document type：
Article
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
ENGLISH (EN)
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2)：
JST classification
Category name(code) classified by JST.
Artificial intelligence
, System and control theory in general
Reference (15)：
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Adomavicius, G. and Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions, IEEE Trans. Knowledge and Data Engineering, Vol.17, No.6, pp. 734-749(2005).
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Boutilier, C., Zemel, R. and Marlin, B.: Active collaborative filtering, Proc.19th Annual Conference on Uncertainty in Artificial Intelligence, pp. 98-106(2003).
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Chan, N.: A-optimality for regression designs, Technical report, Stanford University, Department of Statistics (1981).
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Dasgupta, S., Lee, W. and Long, P.: A theoretical analysis of query selection for collaborative filtering (2003).
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Dette, H. and Studden, W. J.: Geometry of e-optimality, Annals of Statistics, Vol.21, No.1, pp. 416-43(1993).
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