Gradient boosting (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Gradient boosting" in English language version.

refsWebsite

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7web.archive.org

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6doi.org

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3worldcat.org

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3semanticscholar.org

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3stanford.edu

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2r-project.org

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2harvard.edu

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2nih.gov

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1berkeley.edu

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1nips.cc

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1dur.ac.uk

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1chengli.io

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1usm.edu

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1analyticsvidhya.com

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1njit.edu

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1rutgers.edu

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1ya.ru

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1arxiv.org

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1kdnuggets.com

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1ascelibrary.org

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1handle.net

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analyticsvidhya.com

Learn Gradient Boosting Algorithm for better predictions (with codes in R)

arxiv.org

Lalchand, Vidhi (2020). "Extracting more from boosted decision trees: A high energy physics case study". arXiv:2001.06033 [stat.ML].

ascelibrary.org

Piryonesi, S. Madeh; El-Diraby, Tamer E. (2020-03-01). "Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index". Journal of Infrastructure Systems. 26 (1): 04019036. doi:10.1061/(ASCE)IS.1943-555X.0000512. ISSN 1943-555X. S2CID 213782055.

berkeley.edu

statistics.berkeley.edu

Breiman, L. (June 1997). "Arcing The Edge" (PDF). Technical Report 486. Statistics Department, University of California, Berkeley.

chengli.io

Cheng Li. "A Gentle Introduction to Gradient Boosting" (PDF).

doi.org

Ma, Longfei; Xiao, Hanmin; Tao, Jingwei; Zheng, Taiyi; Zhang, Haiqin (1 January 2022). "An intelligent approach for reservoir quality evaluation in tight sandstone reservoir using gradient boosting decision tree algorithm". Open Geosciences. 14 (1): 629–645. Bibcode:2022OGeo...14..354M. doi:10.1515/geo-2022-0354. ISSN 2391-5447.
Friedman, Jerome (2003). "Multiple Additive Regression Trees with Application in Epidemiology". Statistics in Medicine. 22 (9): 1365–1381. doi:10.1002/sim.1501. PMID 12704603. S2CID 41965832.
Elith, Jane (2008). "A working guide to boosted regression trees". Journal of Animal Ecology. 77 (4): 802–813. Bibcode:2008JAnEc..77..802E. doi:10.1111/j.1365-2656.2008.01390.x. PMID 18397250.
Piryonesi, S. Madeh; El-Diraby, Tamer E. (2020-03-01). "Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index". Journal of Infrastructure Systems. 26 (1): 04019036. doi:10.1061/(ASCE)IS.1943-555X.0000512. ISSN 1943-555X. S2CID 213782055.
Wu, Xindong; Kumar, Vipin; Ross Quinlan, J.; Ghosh, Joydeep; Yang, Qiang; Motoda, Hiroshi; McLachlan, Geoffrey J.; Ng, Angus; Liu, Bing; Yu, Philip S.; Zhou, Zhi-Hua (2008-01-01). "Top 10 algorithms in data mining". Knowledge and Information Systems. 14 (1): 1–37. doi:10.1007/s10115-007-0114-2. hdl:10983/15329. ISSN 0219-3116. S2CID 2367747.
Sagi, Omer; Rokach, Lior (2021). "Approximating XGBoost with an interpretable decision tree". Information Sciences. 572 (2021): 522–542. doi:10.1016/j.ins.2021.05.055.

dur.ac.uk

maths.dur.ac.uk

Mason, L.; Baxter, J.; Bartlett, P. L.; Frean, Marcus (May 1999). "Boosting Algorithms as Gradient Descent in Function Space" (PDF). Archived from the original (PDF) on 2018-12-22.

handle.net

hdl.handle.net

Wu, Xindong; Kumar, Vipin; Ross Quinlan, J.; Ghosh, Joydeep; Yang, Qiang; Motoda, Hiroshi; McLachlan, Geoffrey J.; Ng, Angus; Liu, Bing; Yu, Philip S.; Zhou, Zhi-Hua (2008-01-01). "Top 10 algorithms in data mining". Knowledge and Information Systems. 14 (1): 1–37. doi:10.1007/s10115-007-0114-2. hdl:10983/15329. ISSN 0219-3116. S2CID 2367747.

harvard.edu

ui.adsabs.harvard.edu

Ma, Longfei; Xiao, Hanmin; Tao, Jingwei; Zheng, Taiyi; Zhang, Haiqin (1 January 2022). "An intelligent approach for reservoir quality evaluation in tight sandstone reservoir using gradient boosting decision tree algorithm". Open Geosciences. 14 (1): 629–645. Bibcode:2022OGeo...14..354M. doi:10.1515/geo-2022-0354. ISSN 2391-5447.
Elith, Jane (2008). "A working guide to boosted regression trees". Journal of Animal Ecology. 77 (4): 802–813. Bibcode:2008JAnEc..77..802E. doi:10.1111/j.1365-2656.2008.01390.x. PMID 18397250.

kdnuggets.com

"Exclusive: Interview with Dan Steinberg, President of Salford Systems, Data Mining Pioneer".

nih.gov

pubmed.ncbi.nlm.nih.gov

Friedman, Jerome (2003). "Multiple Additive Regression Trees with Application in Epidemiology". Statistics in Medicine. 22 (9): 1365–1381. doi:10.1002/sim.1501. PMID 12704603. S2CID 41965832.
Elith, Jane (2008). "A working guide to boosted regression trees". Journal of Animal Ecology. 77 (4): 802–813. Bibcode:2008JAnEc..77..802E. doi:10.1111/j.1365-2656.2008.01390.x. PMID 18397250.

nips.cc

papers.nips.cc

Mason, L.; Baxter, J.; Bartlett, P. L.; Frean, Marcus (1999). "Boosting Algorithms as Gradient Descent" (PDF). In S.A. Solla and T.K. Leen and K. Müller (ed.). Advances in Neural Information Processing Systems 12. MIT Press. pp. 512–518.

njit.edu

web.njit.edu

Tianqi Chen. Introduction to Boosted Trees

r-project.org

cran.r-project.org

Ridgeway, Greg (2007). Generalized Boosted Models: A guide to the gbm package.
Elith, Jane. "Boosted Regression Trees for ecological modeling" (PDF). CRAN. Archived from the original (PDF) on 25 July 2020. Retrieved 31 August 2018.

rutgers.edu

stat.rutgers.edu

Cossock, David and Zhang, Tong (2008). Statistical Analysis of Bayes Optimal Subset Ranking Archived 2010-08-07 at the Wayback Machine, page 14.

semanticscholar.org

api.semanticscholar.org

Friedman, Jerome (2003). "Multiple Additive Regression Trees with Application in Epidemiology". Statistics in Medicine. 22 (9): 1365–1381. doi:10.1002/sim.1501. PMID 12704603. S2CID 41965832.
Piryonesi, S. Madeh; El-Diraby, Tamer E. (2020-03-01). "Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index". Journal of Infrastructure Systems. 26 (1): 04019036. doi:10.1061/(ASCE)IS.1943-555X.0000512. ISSN 1943-555X. S2CID 213782055.
Wu, Xindong; Kumar, Vipin; Ross Quinlan, J.; Ghosh, Joydeep; Yang, Qiang; Motoda, Hiroshi; McLachlan, Geoffrey J.; Ng, Angus; Liu, Bing; Yu, Philip S.; Zhou, Zhi-Hua (2008-01-01). "Top 10 algorithms in data mining". Knowledge and Information Systems. 14 (1): 1–37. doi:10.1007/s10115-007-0114-2. hdl:10983/15329. ISSN 0219-3116. S2CID 2367747.

stanford.edu

statweb.stanford.edu

Friedman, J. H. (March 1999). "Stochastic Gradient Boosting" (PDF). Archived from the original (PDF) on 2014-08-01. Retrieved 2013-11-13.
Friedman, J. H. (February 1999). "Greedy Function Approximation: A Gradient Boosting Machine" (PDF). Archived from the original (PDF) on 2019-11-01. Retrieved 2018-08-27.

www-stat.stanford.edu

Hastie, T.; Tibshirani, R.; Friedman, J. H. (2009). "10. Boosting and Additive Trees". The Elements of Statistical Learning (2nd ed.). New York: Springer. pp. 337–384. ISBN 978-0-387-84857-0. Archived from the original on 2009-11-10.

usm.edu

math.usm.edu

Lambers, Jim (2011–2012). "The Method of Steepest Descent" (PDF).

web.archive.org

Hastie, T.; Tibshirani, R.; Friedman, J. H. (2009). "10. Boosting and Additive Trees". The Elements of Statistical Learning (2nd ed.). New York: Springer. pp. 337–384. ISBN 978-0-387-84857-0. Archived from the original on 2009-11-10.
Friedman, J. H. (March 1999). "Stochastic Gradient Boosting" (PDF). Archived from the original (PDF) on 2014-08-01. Retrieved 2013-11-13.
Friedman, J. H. (February 1999). "Greedy Function Approximation: A Gradient Boosting Machine" (PDF). Archived from the original (PDF) on 2019-11-01. Retrieved 2018-08-27.
Mason, L.; Baxter, J.; Bartlett, P. L.; Frean, Marcus (May 1999). "Boosting Algorithms as Gradient Descent in Function Space" (PDF). Archived from the original (PDF) on 2018-12-22.
Cossock, David and Zhang, Tong (2008). Statistical Analysis of Bayes Optimal Subset Ranking Archived 2010-08-07 at the Wayback Machine, page 14.
Yandex corporate blog entry about new ranking model "Snezhinsk" Archived 2012-03-01 at the Wayback Machine (in Russian)
Elith, Jane. "Boosted Regression Trees for ecological modeling" (PDF). CRAN. Archived from the original (PDF) on 25 July 2020. Retrieved 31 August 2018.

worldcat.org

search.worldcat.org

Ma, Longfei; Xiao, Hanmin; Tao, Jingwei; Zheng, Taiyi; Zhang, Haiqin (1 January 2022). "An intelligent approach for reservoir quality evaluation in tight sandstone reservoir using gradient boosting decision tree algorithm". Open Geosciences. 14 (1): 629–645. Bibcode:2022OGeo...14..354M. doi:10.1515/geo-2022-0354. ISSN 2391-5447.
Piryonesi, S. Madeh; El-Diraby, Tamer E. (2020-03-01). "Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index". Journal of Infrastructure Systems. 26 (1): 04019036. doi:10.1061/(ASCE)IS.1943-555X.0000512. ISSN 1943-555X. S2CID 213782055.
Wu, Xindong; Kumar, Vipin; Ross Quinlan, J.; Ghosh, Joydeep; Yang, Qiang; Motoda, Hiroshi; McLachlan, Geoffrey J.; Ng, Angus; Liu, Bing; Yu, Philip S.; Zhou, Zhi-Hua (2008-01-01). "Top 10 algorithms in data mining". Knowledge and Information Systems. 14 (1): 1–37. doi:10.1007/s10115-007-0114-2. hdl:10983/15329. ISSN 0219-3116. S2CID 2367747.

ya.ru

webmaster.ya.ru

Yandex corporate blog entry about new ranking model "Snezhinsk" Archived 2012-03-01 at the Wayback Machine (in Russian)