A Mathematical Introduction to Learning Theory

References

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Support vector machines Steinwart, Ingo and Christmann, Andreas 2008 Springer, New York MR2450103 book mrnumber: 2450103
pages: xvi+601
mrclass: 62-02 (60B11 60G15 62Gxx 62H30 62J02 68T05 68T20)
series: Information Science and Statistics
isbn: 978-0-387-77241-7
mrreviewer: Gilles Blanchard
Learning theory: an approximation theory viewpoint Cucker, Felipe and Zhou, Ding-Xuan 2007 Cambridge University Press, Cambridge MR2354721 book note: With a foreword by Stephen Smale
mrclass: 41-02 (41A15 41A65 62H30 68Q32 68T05 93B30 93E35)
isbn: 978-0-521-86559-3; 0-521-86559-X
mrreviewer: Marcello Sanguineti
url: https://doi.org/10.1017/CBO9780511618796
volume: 24
mrnumber: 2354721
pages: xii+224
series: Cambridge Monographs on Applied and Computational Mathematics
doi: 10.1017/CBO9780511618796
On the mathematical foundations of learning Cucker, Felipe and Smale, Steve 2002 MR1864085 article mrclass: 68T05 (68T10 91E40 94A20)
mrreviewer: Andrei Mart\'{\i}nez Finkelshtein
fjournal: American Mathematical Society. Bulletin. New Series
url: https://doi.org/10.1090/S0273-0979-01-00923-5
volume: 39
mrnumber: 1864085
number: 1
journal: Bull. Amer. Math. Soc. (N.S.)
pages: 1--49
issn: 0273-0979
doi: 10.1090/S0273-0979-01-00923-5
A distribution-free theory of nonparametric regression Györfi, L\'{a}szl\'{o} and Kohler, Michael and Krzy\.{z}ak, Adam and Walk, Harro 2002 Springer-Verlag, New York MR1920390 book mrnumber: 1920390
pages: xvi+647
mrclass: 62-02 (62G08 62H05 62M10 62M45 62Nxx)
series: Springer Series in Statistics
isbn: 0-387-95441-4
mrreviewer: Ewaryst Rafaj\l owicz
url: https://doi.org/10.1007/b97848
doi: 10.1007/b97848
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