Boosting (Italian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Boosting" in Italian language version.

Last modified: 19:50:39, 3 June 2026 (UTC)

Ref.Un. Ref.Website

Global rank Italian rank

2^nd place

3^rd place

11sciencedirect.com

137^th place

192^nd place

4^th place

18^th place

11intlpress.com

low place

low place

621^st place

1,268^th place

berkeley.edu (Global: 621^st place; Italian: 1,268^th place)

stat.berkeley.edu

(EN) Leo Breiman, Bias, variance, and arcing classifiers (PDF), in Statistics Dept., Tech. Rreport, n. 460, Univ. of California at Berkeley,, aprile 1996.

doi.org (Global: 2^nd place; Italian: 3^rd place)

dx.doi.org

(EN) Freund, Yoav e Schapire, Robert E., A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, in Journal of Computer and System Sciences, vol. 55, n. 1, 1º agosto 1997, pp. 119–139, DOI:10.1006/jcss.1997.1504.
(EN) Robert E. Schapire, The strength of weak learnability, in Machine Learning, vol. 5, n. 2, 1º giugno 1990, pp. 197–227, DOI:10.1007/BF00116037.
(EN) Trevor Hastie, Saharon Rosset e Ji Zhu, Multi-class AdaBoost, in Statistics and Its Interface, vol. 2, n. 3, 2009, pp. 349-360, DOI:10.4310/SII.2009.v2.n3.a8. URL consultato il 10 novembre 2019.

doi.org

(EN) Robert E. Schapire, The strength of weak learnability, in Machine Learning, vol. 5, n. 2, 1º giugno 1990, pp. 197–227, DOI:10.1007/BF00116037.

intlpress.com (Global: low place; Italian: low place)

(EN) Trevor Hastie, Saharon Rosset e Ji Zhu, Multi-class AdaBoost, in Statistics and Its Interface, vol. 2, n. 3, 2009, pp. 349-360, DOI:10.4310/SII.2009.v2.n3.a8. URL consultato il 10 novembre 2019.

sciencedirect.com (Global: 137^th place; Italian: 192^nd place)

(EN) Freund, Yoav e Schapire, Robert E., A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, in Journal of Computer and System Sciences, vol. 55, n. 1, 1º agosto 1997, pp. 119–139, DOI:10.1006/jcss.1997.1504.

worldcat.org (Global: 4^th place; Italian: 18^th place)

De Mauro, Andrea., Big data analytics : guida per iniziare a classificare e interpretare dati con il machine learning, Apogeo, 2019, ISBN 9788850334780, OCLC 1065010076. URL consultato il 10 novembre 2019.