Who Cited It

On the algorithmic implementation of multiclass kernel-based vector machines

2002 · 1,789 citations · 6 from inside this corpus

Koby Crammer, Yoram Singer

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.

On the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…Support-Vector Networks (1995)Support-Vector NetworksStatistical Learning Theory (1999)Statistical Learning TheoryClassification and Regression Trees. (1986)Classification and Regression…A Tutorial on Support Vector Machines for Pattern Recognition (1998)A Tutorial on Support Vector …A training algorithm for optimal margin classifiers (1992)A training algorithm for opti…Advances in kernel methods: support vector learning (1999)Advances in kernel methods: s…An Introduction to Support Vector Machines (2000)An Introduction to Support Ve…An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:… (2000)An Experimental Comparison of…Solving Multiclass Learning Problems via Error-Correcting Output Codes (1995)Solving Multiclass Learning P…Improved boosting algorithms using confidence-rated predictions (1998)Improved boosting algorithms …Large Margin DAG's for Multiclass Classification (1999)Large Margin DAG's for Multic…Making Large-Scale Support Vector Machine Learning Practical (1998)Making Large-Scale Support Ve…Comparing support vector machines with Gaussian kernels to radial basis function classifi… (1997)Comparing support vector mach…Distance Metric Learning for Large Margin Nearest Neighbor Classification (2009)Distance Metric Learning for …Understanding Machine Learning: From Theory To Algorithms (2015)Understanding Machine Learnin…Large Margin Methods for Structured and Interdependent Output Variables (2005)Large Margin Methods for Stru…Distance Metric Learning for Large Margin Nearest Neighbor Classification (2005)Distance Metric Learning for …Kernel methods in machine learning (2008)Kernel methods in machine lea…Online Passive-Aggressive Algorithms (2006)Online Passive-Aggressive Alg…
19 of 19 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 Networks199533,914
Statistical Learning Theory199926,957
Classification and Regression Trees.198621,044
A Tutorial on Support Vector Machines for Pattern Recognition199816,488
A training algorithm for optimal margin classifiers199211,664
Advances in kernel methods: support vector learning19995,819
An Introduction to Support Vector Machines20004,134
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…20002,962
Solving Multiclass Learning Problems via Error-Correcting Output Codes19952,729
Improved boosting algorithms using confidence-rated predictions19982,573
Large Margin DAG's for Multiclass Classification19991,646
Making Large-Scale Support Vector Machine Learning Practical19981,569
Comparing support vector machines with Gaussian kernels to radial basis function classifi…19971,414

What cites it, inside the corpus

PaperYearCited
Distance Metric Learning for Large Margin Nearest Neighbor Classification20094,256
Understanding Machine Learning: From Theory To Algorithms20153,081
Large Margin Methods for Structured and Interdependent Output Variables20051,957
Distance Metric Learning for Large Margin Nearest Neighbor Classification20051,707
Kernel methods in machine learning20081,618
Online Passive-Aggressive Algorithms20061,453

Links

OpenAlex record

Topics

Machine Learning and ELMComputer Science
Face and Expression RecognitionComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports32 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…