Loss functions for classification (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Loss functions for classification" in English language version.

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5doi.org

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5semanticscholar.org

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2worldcat.org

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2mit.edu

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1nih.gov

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1uci.edu

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1jstor.org

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1nips.cc

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1jmlr.org

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doi.org

Rosasco, L.; De Vito, E. D.; Caponnetto, A.; Piana, M.; Verri, A. (2004). "Are Loss Functions All the Same?" (PDF). Neural Computation. 16 (5): 1063–1076. CiteSeerX 10.1.1.109.6786. doi:10.1162/089976604773135104. PMID 15070510. S2CID 11845688.
Bartlett, Peter L.; Jordan, Michael I.; Mcauliffe, Jon D. (2006). "Convexity, Classification, and Risk Bounds". Journal of the American Statistical Association. 101 (473): 138–156. doi:10.1198/016214505000000907. ISSN 0162-1459. JSTOR 30047445. S2CID 2833811.
Leistner, C.; Saffari, A.; Roth, P. M.; Bischof, H. (September 2009). "On robustness of on-line boosting - a competitive study". 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops. pp. 1362–1369. doi:10.1109/ICCVW.2009.5457451. ISBN 978-1-4244-4442-7. S2CID 6032045.
Masnadi-Shirazi, H.; Mahadevan, V.; Vasconcelos, N. (June 2010). "On the design of robust classifiers for computer vision". 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp. 779–786. CiteSeerX 10.1.1.172.6416. doi:10.1109/CVPR.2010.5540136. ISBN 978-1-4244-6984-0. S2CID 632758.
Schulter, S.; Wohlhart, P.; Leistner, C.; Saffari, A.; Roth, P. M.; Bischof, H. (June 2013). "Alternating Decision Forests". 2013 IEEE Conference on Computer Vision and Pattern Recognition. pp. 508–515. CiteSeerX 10.1.1.301.1305. doi:10.1109/CVPR.2013.72. ISBN 978-0-7695-4989-7. S2CID 6557162.

jmlr.org

Vasconcelos, Nuno; Masnadi-Shirazi, Hamed (2015). "A View of Margin Losses as Regularizers of Probability Estimates". Journal of Machine Learning Research. 16 (85): 2751–2795. ISSN 1533-7928.

jstor.org

Bartlett, Peter L.; Jordan, Michael I.; Mcauliffe, Jon D. (2006). "Convexity, Classification, and Risk Bounds". Journal of the American Statistical Association. 101 (473): 138–156. doi:10.1198/016214505000000907. ISSN 0162-1459. JSTOR 30047445. S2CID 2833811.

mit.edu

web.mit.edu

Rosasco, L.; De Vito, E. D.; Caponnetto, A.; Piana, M.; Verri, A. (2004). "Are Loss Functions All the Same?" (PDF). Neural Computation. 16 (5): 1063–1076. CiteSeerX 10.1.1.109.6786. doi:10.1162/089976604773135104. PMID 15070510. S2CID 11845688.

dspace.mit.edu

Rifkin, Ryan M.; Lippert, Ross A. (1 May 2007), Notes on Regularized Least Squares (PDF), MIT Computer Science and Artificial Intelligence Laboratory

nih.gov

pubmed.ncbi.nlm.nih.gov

Rosasco, L.; De Vito, E. D.; Caponnetto, A.; Piana, M.; Verri, A. (2004). "Are Loss Functions All the Same?" (PDF). Neural Computation. 16 (5): 1063–1076. CiteSeerX 10.1.1.109.6786. doi:10.1162/089976604773135104. PMID 15070510. S2CID 11845688.

nips.cc

papers.nips.cc

Masnadi-Shirazi, Hamed; Vasconcelos, Nuno (2008). "On the Design of Loss Functions for Classification: Theory, Robustness to Outliers, and SavageBoost" (PDF). Proceedings of the 21st International Conference on Neural Information Processing Systems. NIPS'08. USA: Curran Associates Inc.: 1049–1056. ISBN 9781605609492.

psu.edu

citeseerx.ist.psu.edu

Rosasco, L.; De Vito, E. D.; Caponnetto, A.; Piana, M.; Verri, A. (2004). "Are Loss Functions All the Same?" (PDF). Neural Computation. 16 (5): 1063–1076. CiteSeerX 10.1.1.109.6786. doi:10.1162/089976604773135104. PMID 15070510. S2CID 11845688.
Masnadi-Shirazi, H.; Mahadevan, V.; Vasconcelos, N. (June 2010). "On the design of robust classifiers for computer vision". 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp. 779–786. CiteSeerX 10.1.1.172.6416. doi:10.1109/CVPR.2010.5540136. ISBN 978-1-4244-6984-0. S2CID 632758.
Schulter, S.; Wohlhart, P.; Leistner, C.; Saffari, A.; Roth, P. M.; Bischof, H. (June 2013). "Alternating Decision Forests". 2013 IEEE Conference on Computer Vision and Pattern Recognition. pp. 508–515. CiteSeerX 10.1.1.301.1305. doi:10.1109/CVPR.2013.72. ISBN 978-0-7695-4989-7. S2CID 6557162.

semanticscholar.org

api.semanticscholar.org

Rosasco, L.; De Vito, E. D.; Caponnetto, A.; Piana, M.; Verri, A. (2004). "Are Loss Functions All the Same?" (PDF). Neural Computation. 16 (5): 1063–1076. CiteSeerX 10.1.1.109.6786. doi:10.1162/089976604773135104. PMID 15070510. S2CID 11845688.
Bartlett, Peter L.; Jordan, Michael I.; Mcauliffe, Jon D. (2006). "Convexity, Classification, and Risk Bounds". Journal of the American Statistical Association. 101 (473): 138–156. doi:10.1198/016214505000000907. ISSN 0162-1459. JSTOR 30047445. S2CID 2833811.
Leistner, C.; Saffari, A.; Roth, P. M.; Bischof, H. (September 2009). "On robustness of on-line boosting - a competitive study". 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops. pp. 1362–1369. doi:10.1109/ICCVW.2009.5457451. ISBN 978-1-4244-4442-7. S2CID 6032045.
Masnadi-Shirazi, H.; Mahadevan, V.; Vasconcelos, N. (June 2010). "On the design of robust classifiers for computer vision". 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp. 779–786. CiteSeerX 10.1.1.172.6416. doi:10.1109/CVPR.2010.5540136. ISBN 978-1-4244-6984-0. S2CID 632758.
Schulter, S.; Wohlhart, P.; Leistner, C.; Saffari, A.; Roth, P. M.; Bischof, H. (June 2013). "Alternating Decision Forests". 2013 IEEE Conference on Computer Vision and Pattern Recognition. pp. 508–515. CiteSeerX 10.1.1.301.1305. doi:10.1109/CVPR.2013.72. ISBN 978-0-7695-4989-7. S2CID 6557162.

temple.edu

cis.temple.edu

Piyush, Rai (13 September 2011), Support Vector Machines (Contd.), Classification Loss Functions and Regularizers (PDF), Utah CS5350/6350: Machine Learning, retrieved 4 May 2021

uci.edu

ics.uci.edu

Ramanan, Deva (27 February 2008), Lecture 14 (PDF), UCI ICS273A: Machine Learning, retrieved 6 December 2014

upenn.edu

stat.wharton.upenn.edu

Shen, Yi (2005), Loss Functions For Binary Classification and Class Probability Estimation (PDF), University of Pennsylvania, retrieved 6 December 2014

worldcat.org

search.worldcat.org

Bartlett, Peter L.; Jordan, Michael I.; Mcauliffe, Jon D. (2006). "Convexity, Classification, and Risk Bounds". Journal of the American Statistical Association. 101 (473): 138–156. doi:10.1198/016214505000000907. ISSN 0162-1459. JSTOR 30047445. S2CID 2833811.
Vasconcelos, Nuno; Masnadi-Shirazi, Hamed (2015). "A View of Margin Losses as Regularizers of Probability Estimates". Journal of Machine Learning Research. 16 (85): 2751–2795. ISSN 1533-7928.