Функції втрат для класифікації (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Функції втрат для класифікації" in Ukrainian language version.

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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. doi:10.1162/089976604773135104. PMID 15070510.
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.
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: 1362—1369. doi:10.1109/ICCVW.2009.5457451. ISBN 978-1-4244-4442-7.
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: 779—786. doi:10.1109/CVPR.2010.5540136. ISBN 978-1-4244-6984-0.
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: 508—515. doi:10.1109/CVPR.2013.72. ISBN 978-0-7695-4989-7.

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.

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. doi:10.1162/089976604773135104. PMID 15070510.

dspace.mit.edu

Rifkin, Ryan M.; Lippert, Ross A. (1 травня 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. doi:10.1162/089976604773135104. PMID 15070510.

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.

temple.edu

cis.temple.edu

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

uci.edu

ics.uci.edu

Ramanan, Deva (27 лютого 2008), Lecture 14 (PDF), UCI ICS273A: Machine Learning, процитовано 6 грудня 2014

upenn.edu

stat.wharton.upenn.edu

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

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.
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.