Who Cited It

An Introduction to Support Vector Machines

2000 · ePrints Soton (University of Southampton) · 4,134 citations · 12 from inside this corpus

Nello Cristianini, John Shawe‐Taylor

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 Introduction to Support Vector Machines (2000)An Introduction to Support Ve…Gaussian Processes for Machine Learning (2005)Gaussian Processes for Machin…Semi-Supervised Learning (2006)Semi-Supervised LearningAn introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…Understanding Machine Learning: From Theory To Algorithms (2015)Understanding Machine Learnin…Choosing Multiple Parameters for Support Vector Machines (2002)Choosing Multiple Parameters …Using AUC and accuracy in evaluating learning algorithms (2005)Using AUC and accuracy in eva…Natural language processing: an introduction (2011)Natural language processing: …On the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…Machine learning: a review of classification and combining techniques (2006)Machine learning: a review of…Pegasos: primal estimated sub-gradient solver for SVM (2010)Pegasos: primal estimated sub…Online Passive-Aggressive Algorithms (2006)Online Passive-Aggressive Alg…
12 of 12 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

Citation edge evidence

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What cites it, inside the corpus

PaperYearCited
Gaussian Processes for Machine Learning200510,470
Semi-Supervised Learning20064,334
An introduction to kernel-based learning algorithms20013,498
Prediction, Learning, and Games20063,279
Understanding Machine Learning: From Theory To Algorithms20153,081
Choosing Multiple Parameters for Support Vector Machines20022,183
Using AUC and accuracy in evaluating learning algorithms20052,163
Natural language processing: an introduction20112,014
On the algorithmic implementation of multiclass kernel-based vector machines20021,789
Machine learning: a review of classification and combining techniques20061,562
Pegasos: primal estimated sub-gradient solver for SVM20101,525
Online Passive-Aggressive Algorithms20061,453

Links

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Topics

Neural Networks and ApplicationsComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports2 author record(s) attached.
  • weakensNo references are recorded despite 4,134 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…