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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...
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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...
- Bell
Laboratories by
Vladimir Vapnik with
colleagues (Boser et al., 1992,
Guyon et al., 1993,
Cortes and
Vapnik, 1995,
Vapnik et al., 1997) SVMs are one...
- 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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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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Grenadines VC
dimension (
Vapnik–Chervonenkis dimension), a
measure of the
capacity of a
statistical classification algorithm Vapnik–Chervonenkis theory, a...
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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...
- 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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mutually inconsistent predictions.
Transduction was
introduced 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...
