Early stopping (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Early stopping" in English language version.

refsWebsite

Global rank English rank

9doi.org

2^nd place

6worldcat.org

5^th place

5semanticscholar.org

11^th place

8^th place

3psu.edu

207^th place

136^th place

2jstor.org

26^th place

20^th place

2arxiv.org

69^th place

59^th place

1harvard.edu

18^th place

17^th place

1archive.org

6^th place

archive.org

Prechelt, Lutz; Geneviève B. Orr (2012-01-01). "Early Stopping — But When?". In Grégoire Montavon; Klaus-Robert Müller (eds.). Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science. Springer Berlin Heidelberg. pp. 53–67. doi:10.1007/978-3-642-35289-8_5. ISBN 978-3-642-35289-8.

arxiv.org

Tong Zhang; Bin Yu (2005-08-01). "Boosting with Early Stopping: Convergence and Consistency". The Annals of Statistics. 33 (4): 1538–1579. arXiv:math/0508276. Bibcode:2005math......8276Z. doi:10.1214/009053605000000255. ISSN 0090-5364. JSTOR 3448617. S2CID 13158356.
Stankewitz, Bernhard (2024-04-01). "Early stopping for L2-boosting in high-dimensional linear models". The Annals of Statistics. 52 (2): 491–518. arXiv:2210.07850. doi:10.1214/24-AOS2356.

doi.org

Girosi, Federico; Michael Jones; Tomaso Poggio (1995-03-01). "Regularization Theory and Neural Networks Architectures". Neural Computation. 7 (2): 219–269. CiteSeerX 10.1.1.48.9258. doi:10.1162/neco.1995.7.2.219. ISSN 0899-7667. S2CID 49743910.
Smale, Steve; Ding-Xuan Zhou (2007-08-01). "Learning Theory Estimates via Integral Operators and Their Approximations". Constructive Approximation. 26 (2): 153–172. CiteSeerX 10.1.1.210.722. doi:10.1007/s00365-006-0659-y. ISSN 0176-4276. S2CID 5977083.
Yao, Yuan; Lorenzo Rosasco; Andrea Caponnetto (2007-08-01). "On Early Stopping in Gradient Descent Learning". Constructive Approximation. 26 (2): 289–315. CiteSeerX 10.1.1.329.2482. doi:10.1007/s00365-006-0663-2. ISSN 0176-4276. S2CID 8323954.
Raskutti, G.; M.J. Wainwright; Bin Yu (2011). "Early stopping for non-parametric regression: An optimal data-dependent stopping rule". 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton). 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton). pp. 1318–1325. doi:10.1109/Allerton.2011.6120320.
Wenxin Jiang (February 2004). "Process consistency for AdaBoost". The Annals of Statistics. 32 (1): 13–29. doi:10.1214/aos/1079120128. ISSN 0090-5364.
Bühlmann, Peter; Bin Yu (2003-06-01). "Boosting with the L₂ Loss: Regression and Classification". Journal of the American Statistical Association. 98 (462): 324–339. doi:10.1198/016214503000125. ISSN 0162-1459. JSTOR 30045243. S2CID 123059267.
Tong Zhang; Bin Yu (2005-08-01). "Boosting with Early Stopping: Convergence and Consistency". The Annals of Statistics. 33 (4): 1538–1579. arXiv:math/0508276. Bibcode:2005math......8276Z. doi:10.1214/009053605000000255. ISSN 0090-5364. JSTOR 3448617. S2CID 13158356.
Stankewitz, Bernhard (2024-04-01). "Early stopping for L2-boosting in high-dimensional linear models". The Annals of Statistics. 52 (2): 491–518. arXiv:2210.07850. doi:10.1214/24-AOS2356.
Prechelt, Lutz; Geneviève B. Orr (2012-01-01). "Early Stopping — But When?". In Grégoire Montavon; Klaus-Robert Müller (eds.). Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science. Springer Berlin Heidelberg. pp. 53–67. doi:10.1007/978-3-642-35289-8_5. ISBN 978-3-642-35289-8.

harvard.edu

ui.adsabs.harvard.edu

Tong Zhang; Bin Yu (2005-08-01). "Boosting with Early Stopping: Convergence and Consistency". The Annals of Statistics. 33 (4): 1538–1579. arXiv:math/0508276. Bibcode:2005math......8276Z. doi:10.1214/009053605000000255. ISSN 0090-5364. JSTOR 3448617. S2CID 13158356.

jstor.org

Bühlmann, Peter; Bin Yu (2003-06-01). "Boosting with the L₂ Loss: Regression and Classification". Journal of the American Statistical Association. 98 (462): 324–339. doi:10.1198/016214503000125. ISSN 0162-1459. JSTOR 30045243. S2CID 123059267.
Tong Zhang; Bin Yu (2005-08-01). "Boosting with Early Stopping: Convergence and Consistency". The Annals of Statistics. 33 (4): 1538–1579. arXiv:math/0508276. Bibcode:2005math......8276Z. doi:10.1214/009053605000000255. ISSN 0090-5364. JSTOR 3448617. S2CID 13158356.

psu.edu

citeseerx.ist.psu.edu

Girosi, Federico; Michael Jones; Tomaso Poggio (1995-03-01). "Regularization Theory and Neural Networks Architectures". Neural Computation. 7 (2): 219–269. CiteSeerX 10.1.1.48.9258. doi:10.1162/neco.1995.7.2.219. ISSN 0899-7667. S2CID 49743910.
Smale, Steve; Ding-Xuan Zhou (2007-08-01). "Learning Theory Estimates via Integral Operators and Their Approximations". Constructive Approximation. 26 (2): 153–172. CiteSeerX 10.1.1.210.722. doi:10.1007/s00365-006-0659-y. ISSN 0176-4276. S2CID 5977083.
Yao, Yuan; Lorenzo Rosasco; Andrea Caponnetto (2007-08-01). "On Early Stopping in Gradient Descent Learning". Constructive Approximation. 26 (2): 289–315. CiteSeerX 10.1.1.329.2482. doi:10.1007/s00365-006-0663-2. ISSN 0176-4276. S2CID 8323954.

semanticscholar.org

api.semanticscholar.org

Girosi, Federico; Michael Jones; Tomaso Poggio (1995-03-01). "Regularization Theory and Neural Networks Architectures". Neural Computation. 7 (2): 219–269. CiteSeerX 10.1.1.48.9258. doi:10.1162/neco.1995.7.2.219. ISSN 0899-7667. S2CID 49743910.
Smale, Steve; Ding-Xuan Zhou (2007-08-01). "Learning Theory Estimates via Integral Operators and Their Approximations". Constructive Approximation. 26 (2): 153–172. CiteSeerX 10.1.1.210.722. doi:10.1007/s00365-006-0659-y. ISSN 0176-4276. S2CID 5977083.
Yao, Yuan; Lorenzo Rosasco; Andrea Caponnetto (2007-08-01). "On Early Stopping in Gradient Descent Learning". Constructive Approximation. 26 (2): 289–315. CiteSeerX 10.1.1.329.2482. doi:10.1007/s00365-006-0663-2. ISSN 0176-4276. S2CID 8323954.
Bühlmann, Peter; Bin Yu (2003-06-01). "Boosting with the L₂ Loss: Regression and Classification". Journal of the American Statistical Association. 98 (462): 324–339. doi:10.1198/016214503000125. ISSN 0162-1459. JSTOR 30045243. S2CID 123059267.
Tong Zhang; Bin Yu (2005-08-01). "Boosting with Early Stopping: Convergence and Consistency". The Annals of Statistics. 33 (4): 1538–1579. arXiv:math/0508276. Bibcode:2005math......8276Z. doi:10.1214/009053605000000255. ISSN 0090-5364. JSTOR 3448617. S2CID 13158356.

worldcat.org

search.worldcat.org

Girosi, Federico; Michael Jones; Tomaso Poggio (1995-03-01). "Regularization Theory and Neural Networks Architectures". Neural Computation. 7 (2): 219–269. CiteSeerX 10.1.1.48.9258. doi:10.1162/neco.1995.7.2.219. ISSN 0899-7667. S2CID 49743910.
Smale, Steve; Ding-Xuan Zhou (2007-08-01). "Learning Theory Estimates via Integral Operators and Their Approximations". Constructive Approximation. 26 (2): 153–172. CiteSeerX 10.1.1.210.722. doi:10.1007/s00365-006-0659-y. ISSN 0176-4276. S2CID 5977083.
Yao, Yuan; Lorenzo Rosasco; Andrea Caponnetto (2007-08-01). "On Early Stopping in Gradient Descent Learning". Constructive Approximation. 26 (2): 289–315. CiteSeerX 10.1.1.329.2482. doi:10.1007/s00365-006-0663-2. ISSN 0176-4276. S2CID 8323954.
Wenxin Jiang (February 2004). "Process consistency for AdaBoost". The Annals of Statistics. 32 (1): 13–29. doi:10.1214/aos/1079120128. ISSN 0090-5364.
Bühlmann, Peter; Bin Yu (2003-06-01). "Boosting with the L₂ Loss: Regression and Classification". Journal of the American Statistical Association. 98 (462): 324–339. doi:10.1198/016214503000125. ISSN 0162-1459. JSTOR 30045243. S2CID 123059267.
Tong Zhang; Bin Yu (2005-08-01). "Boosting with Early Stopping: Convergence and Consistency". The Annals of Statistics. 33 (4): 1538–1579. arXiv:math/0508276. Bibcode:2005math......8276Z. doi:10.1214/009053605000000255. ISSN 0090-5364. JSTOR 3448617. S2CID 13158356.