Who Cited It

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

1971 · Theory of Probability and Its Applications · 2,435 citations · 11 from inside this corpus

Vladimir Vapnik, Alexey Chervonenkis low

No abstract in the source record.

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities (1971)On the Uniform Convergence of…An overview of statistical learning theory (1999)An overview of statistical le…Large-Scale Machine Learning with Stochastic Gradient Descent (2010)Large-Scale Machine Learning …Semi-Supervised Learning (2006)Semi-Supervised LearningDeep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…Boosting the margin: a new explanation for the effectiveness of voting methods (1998)Boosting the margin: a new ex…Rademacher and Gaussian Complexities: Risk Bounds and Structural Results (2001)Rademacher and Gaussian Compl…The Boosting Approach to Machine Learning: An Overview (2003)The Boosting Approach to Mach…Stochastic Gradient Descent Tricks (2012)Stochastic Gradient Descent T…Learnability and the Vapnik-Chervonenkis dimension (1989)Learnability and the Vapnik-C…Kernel methods in machine learning (2008)Kernel methods in machine lea…Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm (1988)Learning Quickly When Irrelev…
11 of 11 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What cites it, inside the corpus

PaperYearCited
An overview of statistical learning theory19996,311
Large-Scale Machine Learning with Stochastic Gradient Descent20105,695
Semi-Supervised Learning20064,334
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results20012,126
The Boosting Approach to Machine Learning: An Overview20032,023
Stochastic Gradient Descent Tricks20121,944
Learnability and the Vapnik-Chervonenkis dimension19891,855
Kernel methods in machine learning20081,618
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm19881,382

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports1 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 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…