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Recent Advances in Predictive (Machine) Learning

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  • Jerome H. Friedman

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Suggested Citation

  • Jerome H. Friedman, 2006. "Recent Advances in Predictive (Machine) Learning," Journal of Classification, Springer;The Classification Society, vol. 23(2), pages 175-197, September.
    • Handle: RePEc:spr:jclass:v:23:y:2006:i:2:p:175-197
    DOI: 10.1007/s00357-006-0012-4
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    Cited by:

    1. Wang Chamont & Gevertz Jana L., 2016. "Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(4), pages 321-347, August.
    2. Hieu Pham & Sigurður Olafsson, 2020. "On Cesáro Averages for Weighted Trees in the Random Forest," Journal of Classification, Springer;The Classification Society, vol. 37(1), pages 223-236, April.
    3. Stefan Lessmann & Stefan Voß, 2010. "Customer-Centric Decision Support," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 79-93, April.
    4. Milena Buric & Milijana Novovic Buric & Andjela Jaksic Stojanovic & Ljiljana Kascelan & Dragica Zugić, 2022. "Sustainability of Online Teaching: The Case Study Mother Tongue Spelling Course at Montenegrin Universities," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    5. Dong-Yop Oh & J. Gray, 2013. "GA-Ensemble: a genetic algorithm for robust ensembles," Computational Statistics, Springer, vol. 28(5), pages 2333-2347, October.
    6. Dongyun Nie & Michael Scriney & Xiaoning Liang & Mark Roantree, 2024. "From data acquisition to validation: a complete workflow for predicting individual customer lifetime value," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 321-341, June.

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