On the algorithmic implementation of multiclass kernel-based vector machines

Koby Crammer; Yoram Singer

On the algorithmic implementation of multiclass kernel-based vector machines

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

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.

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Citation edge evidence

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Distance Metric Learning for Large Margin Nearest Neighbor Classification→On the algorithmic implementation of multiclass kernel-based vector machinesLegacy edge — source detail unavailable
Understanding Machine Learning: From Theory To Algorithms→On the algorithmic implementation of multiclass kernel-based vector machinesLegacy edge — source detail unavailable
Large Margin Methods for Structured and Interdependent Output Variables→On the algorithmic implementation of multiclass kernel-based vector machinesLegacy edge — source detail unavailable
Distance Metric Learning for Large Margin Nearest Neighbor Classification→On the algorithmic implementation of multiclass kernel-based vector machinesLegacy edge — source detail unavailable
Kernel methods in machine learning→On the algorithmic implementation of multiclass kernel-based vector machinesLegacy edge — source detail unavailable
Online Passive-Aggressive Algorithms→On the algorithmic implementation of multiclass kernel-based vector machinesLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Support-Vector NetworksLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Statistical Learning TheoryLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Classification and Regression Trees.Legacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→A Tutorial on Support Vector Machines for Pattern RecognitionLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Advances in kernel methods: support vector learningLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→An Introduction to Support Vector MachinesLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…Legacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Improved boosting algorithms using confidence-rated predictionsLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Large Margin DAG's for Multiclass ClassificationLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Making Large-Scale Support Vector Machine Learning PracticalLegacy edge — source detail unavailable
On the algorithmic implementation of multiclass kernel-based vector machines→Comparing support vector machines with Gaussian kernels to radial basis function classifi…Legacy edge — source detail unavailable
Solving Multiclass Learning Problems via Error-Correcting Output Codes→Classification and Regression Trees.Legacy edge — source detail unavailable
Improved boosting algorithms using confidence-rated predictions→An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…Legacy edge — source detail unavailable
Improved boosting algorithms using confidence-rated predictions→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
Comparing support vector machines with Gaussian kernels to radial basis function classifi…→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
Comparing support vector machines with Gaussian kernels to radial basis function classifi…→Support-Vector NetworksLegacy edge — source detail unavailable
Large Margin Methods for Structured and Interdependent Output Variables→Statistical Learning TheoryLegacy edge — source detail unavailable
Distance Metric Learning for Large Margin Nearest Neighbor Classification→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
Support-Vector Networks→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
Distance Metric Learning for Large Margin Nearest Neighbor Classification→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
A Tutorial on Support Vector Machines for Pattern Recognition→Comparing support vector machines with Gaussian kernels to radial basis function classifi…Legacy edge — source detail unavailable
A Tutorial on Support Vector Machines for Pattern Recognition→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
A Tutorial on Support Vector Machines for Pattern Recognition→Support-Vector NetworksLegacy edge — source detail unavailable
A Tutorial on Support Vector Machines for Pattern Recognition→Statistical Learning TheoryLegacy edge — source detail unavailable
Large Margin DAG's for Multiclass Classification→Statistical Learning TheoryLegacy edge — source detail unavailable
Online Passive-Aggressive Algorithms→An Introduction to Support Vector MachinesLegacy edge — source detail unavailable
Online Passive-Aggressive Algorithms→Improved boosting algorithms using confidence-rated predictionsLegacy edge — source detail unavailable
Online Passive-Aggressive Algorithms→Statistical Learning TheoryLegacy edge — source detail unavailable
Kernel methods in machine learning→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
Kernel methods in machine learning→Large Margin Methods for Structured and Interdependent Output VariablesLegacy edge — source detail unavailable
Understanding Machine Learning: From Theory To Algorithms→An Introduction to Support Vector MachinesLegacy edge — source detail unavailable
Understanding Machine Learning: From Theory To Algorithms→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
Understanding Machine Learning: From Theory To Algorithms→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
Understanding Machine Learning: From Theory To Algorithms→Support-Vector NetworksLegacy edge — source detail unavailable
Understanding Machine Learning: From Theory To Algorithms→Statistical Learning TheoryLegacy edge — source detail unavailable
Understanding Machine Learning: From Theory To Algorithms→Classification and Regression Trees.Legacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Support-Vector Networks	1995	33,914
Statistical Learning Theory	1999	26,957
Classification and Regression Trees.	1986	21,044
A Tutorial on Support Vector Machines for Pattern Recognition	1998	16,488
A training algorithm for optimal margin classifiers	1992	11,664
Advances in kernel methods: support vector learning	1999	5,819
An Introduction to Support Vector Machines	2000	4,134
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…	2000	2,962
Solving Multiclass Learning Problems via Error-Correcting Output Codes	1995	2,729
Improved boosting algorithms using confidence-rated predictions	1998	2,573
Large Margin DAG's for Multiclass Classification	1999	1,646
Making Large-Scale Support Vector Machine Learning Practical	1998	1,569
Comparing support vector machines with Gaussian kernels to radial basis function classifi…	1997	1,414

What cites it, inside the corpus

Paper	Year	Cited
Distance Metric Learning for Large Margin Nearest Neighbor Classification	2009	4,256
Understanding Machine Learning: From Theory To Algorithms	2015	3,081
Large Margin Methods for Structured and Interdependent Output Variables	2005	1,957
Distance Metric Learning for Large Margin Nearest Neighbor Classification	2005	1,707
Kernel methods in machine learning	2008	1,618
Online Passive-Aggressive Algorithms	2006	1,453

Links

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Topics

Machine Learning and ELM	Computer Science
Face and Expression Recognition	Computer Science
Machine Learning and Data Classification	Computer 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.

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