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Rethinking statistical learning theory: learning using statistical invariants

, and . Machine Learning, (Jul 18, 2018)
DOI: 10.1007/s10994-018-5742-0

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Local Algorithms for Pattern Recognition and Dependencies Estimation., and . Neural Comput., 5 (6): 893-909 (1993)Constructive setting for problems of density ratio estimation., , and . Stat. Anal. Data Min., 8 (3): 137-146 (2015)Learning using privileged information: similarity control and knowledge transfer., and . J. Mach. Learn. Res., (2015)Multidimensional splines with infinite number of knots as SVM kernels., , and . IJCNN, page 1-7. IEEE, (2013)Support vector machines for spam categorization., , and . IEEE Trans. Neural Networks, 10 (5): 1048-1054 (1999)Rethinking statistical learning theory: learning using statistical invariants, and . Machine Learning, (Jul 18, 2018)Learning using hidden information: Master-class learning., , and . NATO ASI Mining Massive Data Sets for Security, volume 19 of NATO Science for Peace and Security Series - D: Information and Communication Security, page 3-14. IOS Press, (2007)Estimation of dependencies based on small number of observations.. CIFEr, page 41. IEEE, (1995)Synergy of Monotonic Rules., and . J. Mach. Learn. Res., (2016)The nature of statistical learning theory. springer, (1999)