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, , and . NIPS, page 953-960. Curran Associates, Inc., (2008)

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The elements of statistical learning: data mining, inference and prediction, , and . Springer, 2 edition, (2009)Feature-weighted elastic net: using "features of features" for better prediction, , , and . Statistica Sinica, 33 (1): 259--279 (January 2023)An Introduction to Statistical Learning with Applications in Python, , , , and . Springer Texts in Statistics Springer, Cham, (2023)Boosting and support vector machines as optimal separators., , and . DRR, volume 5010 of SPIE Proceedings, page 1-7. SPIE, (2003)The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition., , and . Springer Series in Statistics Springer, (2009)Simultaneous Relevance and Diversity: A New Recommendation Inference Approach., , , , , and . CoRR, (2020)Margin Trees for High-dimensional Classification., and . J. Mach. Learn. Res., (2007)Presence-only data and the EM algorithm, , , , and . Biometrics, 65 (2): 554--563 (June 2009)Least angle regression, , , and . The Annals of Statistics, 32 (2): 407--499 (2004)Additive logistic regression: a statistical view of boosting (with discussion), , and . The Annals of Statistics, 28 (2): 337--374 (April 2000)