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Vladimir Naumovich Vapnik (Russian: Владимир Наумович Вапник; born 6
December 1936) is a
computer scientist, researcher, and academic. He is one of the...
- In
Vapnik–Chervonenkis theory, the
Vapnik–Chervonenkis (VC)
dimension is a
measure of the size (capacity, complexity,
expressive power, richness, or flexibility)...
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Vapnik–Chervonenkis
theory (also
known as VC theory) was
developed during 1960–1990 by
Vladimir Vapnik and
Alexey Chervonenkis. The
theory is a form of...
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being based on
statistical learning frameworks of VC
theory proposed by
Vapnik (1982, 1995) and
Chervonenkis (1974). In
addition to
performing linear classification...
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Machine Learning. New York: Springer. ISBN 978-0-387-31073-2.
Vapnik,
Vladimir N.;
Vapnik,
Vladimir Naumovich (1998). The
nature of
statistical learning...
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personalized feed recommendation.
Vladimir Vapnik, a
pioneer in
statistical learning,
joined FAIR in 2014.
Vapnik is the co-inventor of the support-vector...
- intersection. The
concept of
shattered sets
plays an
important role in
Vapnik–Chervonenkis theory, also
known as VC-theory.
Shattering and VC-theory are...
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transductive version of CP was
first proposed in 1998 by Gammerman, Vovk, and
Vapnik, and since,
several variants of
conformal prediction have been developed...
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Transduction was
introduced in a
computer science context by
Vladimir Vapnik in the 1990s,
motivated by his view that
transduction is
preferable to induction...
- Glivenko–Cantelli
classes of
functions or sets. The Glivenko–Cantelli
classes arise in
Vapnik–Chervonenkis theory, with
applications to
machine learning. Applications...
