Who Cited It

An overview of statistical learning theory

1999 · IEEE Transactions on Neural Networks · 6,311 citations · 5 from inside this corpus

Vladimir Vapnik

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

An overview of statistical learning theory (1999)An overview of statistical le…Support-vector networks (1995)Support-vector networksThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksStatistical Learning Theory (1999)Statistical Learning TheoryLearning Internal Representations by Error Propagation (1985)Learning Internal Representat…A training algorithm for optimal margin classifiers (1992)A training algorithm for opti…Nonlinear Component Analysis as a Kernel Eigenvalue Problem (1998)Nonlinear Component Analysis …Advances in kernel methods: support vector learning (1999)Advances in kernel methods: s…A Probabilistic Theory of Pattern Recognition (1996)A Probabilistic Theory of Pat…On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities (1971)On the Uniform Convergence of…Learnability and the Vapnik-Chervonenkis dimension (1989)Learnability and the Vapnik-C…Nonlinear Component Analysis as a Kernel Eigenvalue Problem (1998)Nonlinear Component Analysis …Machine Learning in Medicine (2015)Machine Learning in MedicineHuman-level concept learning through probabilistic program induction (2015)Human-level concept learning …Deep Learning for Health Informatics (2016)Deep Learning for Health Info…Federated Optimization: Distributed Machine Learning for On-Device Intelligence (2016)Federated Optimization: Distr…
16 of 16 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Support-vector networks199541,028
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
Statistical Learning Theory199926,957
Learning Internal Representations by Error Propagation198516,273
A training algorithm for optimal margin classifiers199211,664
Nonlinear Component Analysis as a Kernel Eigenvalue Problem19988,138
Advances in kernel methods: support vector learning19995,819
A Probabilistic Theory of Pattern Recognition19963,327
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities19712,435
Learnability and the Vapnik-Chervonenkis dimension19891,855

What cites it, inside the corpus

PaperYearCited
Nonlinear Component Analysis as a Kernel Eigenvalue Problem19988,138
Machine Learning in Medicine20153,534
Human-level concept learning through probabilistic program induction20152,958
Deep Learning for Health Informatics20162,015
Federated Optimization: Distributed Machine Learning for On-Device Intelligence20161,657

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Machine Learning and AlgorithmsComputer Science
Face and Expression RecognitionComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports1 author record(s) attached.
  • supports35 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…