Who Cited It

Comparing support vector machines with Gaussian kernels to radial basis function classifiers

1997 · IEEE Transactions on Signal Processing · 1,414 citations · 3 from inside this corpus

Bernhard Schölkopf, Kah-Kay Sung low, Chris Burges, Federico Girosi, Partha Niyogi, Tomaso Poggio, Vladimir Vapnik

The source holds an abstract for this work, but its best open-access copy is under cc-by-nc, which does not permit us to republish the text. Read it at the source below.

Comparing support vector machines with Gaussian kernels to radial basis function classifi… (1997)Comparing support vector mach…Support-vector networks (1995)Support-vector networksThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksLearning representations by back-propagating errors (1986)Learning representations by b…Least squares quantization in PCM (1982)Least squares quantization in…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 …Support Vector Method for Function Approximation, Regression Estimation and Signal Proces… (1996)Support Vector Method for Fun…A Tutorial on Support Vector Machines for Pattern Recognition (1998)A Tutorial on Support Vector …Least Squares Support Vector Machine Classifiers (1999)Least Squares Support Vector …On the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…
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 this paper cites, inside the corpus

PaperYearCited
Support-vector networks199541,028
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
Learning representations by back-propagating errors198631,688
Least squares quantization in PCM198215,893
A training algorithm for optimal margin classifiers199211,664
Nonlinear Component Analysis as a Kernel Eigenvalue Problem19988,138
Support Vector Method for Function Approximation, Regression Estimation and Signal Proces…19962,704

What cites it, inside the corpus

PaperYearCited
A Tutorial on Support Vector Machines for Pattern Recognition199816,488
Least Squares Support Vector Machine Classifiers19999,429
On the algorithmic implementation of multiclass kernel-based vector machines20021,789

Links

DOI · Open access copy · OpenAlex record

Topics

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

Is this record sound?

complete

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

  • supports7 author record(s) attached.
  • supports38 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 2026-09-04T03:58:59+00:00.

sha256 59007f057c7dae86…