Making Large-Scale Support Vector Machine Learning Practical

Thorsten Joachims

doi:https://doi.org/10.7551/mitpress/1130.003.0015

Making Large-Scale Support Vector Machine Learning Practical

1998 · The MIT Press eBooks · 1,569 citations · 5 from inside this corpus

No abstract in the source record.

5 of 5 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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Estimating the Support of a High-Dimensional Distribution→Making Large-Scale Support Vector Machine Learning PracticalLegacy edge — source detail unavailable
An introduction to kernel-based learning algorithms→Making Large-Scale Support Vector Machine Learning PracticalLegacy edge — source detail unavailable
Improvements to Platt's SMO Algorithm for SVM Classifier Design→Making Large-Scale Support Vector Machine Learning PracticalLegacy 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
Pegasos: primal estimated sub-gradient solver for SVM→Making Large-Scale Support Vector Machine Learning PracticalLegacy edge — source detail unavailable
An introduction to kernel-based learning algorithms→Estimating the Support of a High-Dimensional DistributionLegacy edge — source detail unavailable
An introduction to kernel-based learning algorithms→Improvements to Platt's SMO Algorithm for SVM Classifier DesignLegacy edge — source detail unavailable
Estimating the Support of a High-Dimensional Distribution→An introduction to kernel-based learning algorithmsLegacy edge — source detail unavailable
Estimating the Support of a High-Dimensional Distribution→Improvements to Platt's SMO Algorithm for SVM Classifier DesignLegacy edge — source detail unavailable
Improvements to Platt's SMO Algorithm for SVM Classifier Design→An introduction to kernel-based learning algorithmsLegacy edge — source detail unavailable

What cites it, inside the corpus

Paper	Year	Cited
Estimating the Support of a High-Dimensional Distribution	2001	6,097
An introduction to kernel-based learning algorithms	2001	3,498
Improvements to Platt's SMO Algorithm for SVM Classifier Design	2001	1,819
On the algorithmic implementation of multiclass kernel-based vector machines	2002	1,789
Pegasos: primal estimated sub-gradient solver for SVM	2010	1,525

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Topics

Machine Learning and Data Classification	Computer Science
Artificial Intelligence in Healthcare	Health Professions

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supports1 author record(s) attached.
weakensNo references are recorded despite 1,569 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

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