Who Cited It

A Tutorial on Support Vector Machines for Pattern Recognition

1998 · Data Mining and Knowledge Discovery · 16,488 citations · 12 from inside this corpus

Christopher J. C. Burges

No abstract in the source record.

A Tutorial on Support Vector Machines for Pattern Recognition (1998)A Tutorial on Support Vector …The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksStatistical Learning Theory (1999)Statistical Learning TheoryNeural networks for pattern recognition (1994)Neural networks for pattern r…Neural Networks for Pattern Recognition (1995)Neural Networks for Pattern R…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 …Introduction to Linear Regression Analysis. (1993)Introduction to Linear Regres…Neural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…A Probabilistic Theory of Pattern Recognition (1996)A Probabilistic Theory of Pat…Support Vector Method for Function Approximation, Regression Estimation and Signal Proces… (1996)Support Vector Method for Fun…Comparing support vector machines with Gaussian kernels to radial basis function classifi… (1997)Comparing support vector mach…Survey of Clustering Algorithms (2005)Survey of Clustering Algorith…Supervised Machine Learning: A Review of Classification Techniques (2007)Supervised Machine Learning: …Machine Learning in Medicine (2015)Machine Learning in MedicineAn introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Supervised learning with quantum-enhanced feature spaces (2019)Supervised learning with quan…Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Using AUC and accuracy in evaluating learning algorithms (2005)Using AUC and accuracy in eva…Improvements to Platt's SMO Algorithm for SVM Classifier Design (2001)Improvements to Platt's SMO A…On the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…Generalized Discriminant Analysis Using a Kernel Approach (2000)Generalized Discriminant Anal…Machine learning: a review of classification and combining techniques (2006)Machine learning: a review of…GAUSSIAN PROCESSES FOR MACHINE LEARNING (2004)GAUSSIAN PROCESSES FOR MACHIN…
24 of 24 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
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
Statistical Learning Theory199926,957
Neural networks for pattern recognition199418,720
Neural Networks for Pattern Recognition199512,273
A training algorithm for optimal margin classifiers199211,664
Nonlinear Component Analysis as a Kernel Eigenvalue Problem19988,138
Introduction to Linear Regression Analysis.19935,449
Neural Networks and the Bias/Variance Dilemma19923,612
A Probabilistic Theory of Pattern Recognition19963,327
Support Vector Method for Function Approximation, Regression Estimation and Signal Proces…19962,704
Comparing support vector machines with Gaussian kernels to radial basis function classifi…19971,414

What cites it, inside the corpus

PaperYearCited
Survey of Clustering Algorithms20056,210
Supervised Machine Learning: A Review of Classification Techniques20074,149
Machine Learning in Medicine20153,534
An introduction to kernel-based learning algorithms20013,498
Supervised learning with quantum-enhanced feature spaces20192,548
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Using AUC and accuracy in evaluating learning algorithms20052,163
Improvements to Platt's SMO Algorithm for SVM Classifier Design20011,819
On the algorithmic implementation of multiclass kernel-based vector machines20021,789
Generalized Discriminant Analysis Using a Kernel Approach20001,683
Machine learning: a review of classification and combining techniques20061,562
GAUSSIAN PROCESSES FOR MACHINE LEARNING20041,486

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Structural Health Monitoring TechniquesEngineering
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.
  • supports64 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 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…