Who Cited It

Estimating the Support of a High-Dimensional Distribution

2001 · Neural Computation · 6,097 citations · 16 from inside this corpus

Bernhard Schölkopf, John Platt, John Shawe‐Taylor, Alex Smola, Robert C. Williamson

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.

Estimating the Support of a High-Dimensional Distribution (2001)Estimating the Support of a H…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Statistical Learning Theory (1999)Statistical Learning TheoryA 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…Making Large-Scale SVM Learning Practical (2006)Making Large-Scale SVM Learni…An introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Improvements to Platt's SMO Algorithm for SVM Classifier Design (2001)Improvements to Platt's SMO A…Making Large-Scale Support Vector Machine Learning Practical (1998)Making Large-Scale Support Ve…Anomaly detection (2009)Anomaly detectionLearning from Imbalanced Data (2009)Learning from Imbalanced DataSupport Vector Data Description (2003)Support Vector Data Descripti…An introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Deep Learning for Anomaly Detection (2021)Deep Learning for Anomaly Det…A kernel two-sample test (2012)A kernel two-sample testEditorial (2004)EditorialSupport Vector Method for Novelty Detection (1999)Support Vector Method for Nov…Isolation-Based Anomaly Detection (2012)Isolation-Based Anomaly Detec…A Kernel Method for the Two-Sample-Problem (2007)A Kernel Method for the Two-S…kernlab - An S4 Package for Kernel Methods in R (2004)kernlab - An S4 Package for K…Classification in the Presence of Label Noise: A Survey (2014)Classification in the Presenc…Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…Kernel methods in machine learning (2008)Kernel methods in machine lea…Correcting Sample Selection Bias by Unlabeled Data (2007)Correcting Sample Selection B…Toward Open Set Recognition (2012)Toward Open Set Recognition
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
Statistical Learning Theory199926,957
A training algorithm for optimal margin classifiers199211,664
Advances in kernel methods: support vector learning19995,819
Making Large-Scale SVM Learning Practical20064,326
An introduction to kernel-based learning algorithms20013,498
Improvements to Platt's SMO Algorithm for SVM Classifier Design20011,819
Making Large-Scale Support Vector Machine Learning Practical19981,569

What cites it, inside the corpus

PaperYearCited
Anomaly detection200911,511
Learning from Imbalanced Data200910,209
Support Vector Data Description20033,526
An introduction to kernel-based learning algorithms20013,498
Deep Learning for Anomaly Detection20212,635
A kernel two-sample test20122,224
Editorial20042,081
Support Vector Method for Novelty Detection19992,067
Isolation-Based Anomaly Detection20122,055
A Kernel Method for the Two-Sample-Problem20071,949
kernlab - An S4 Package for Kernel Methods in R20041,864
Classification in the Presence of Label Noise: A Survey20141,777
Deep Learning for Anomaly Detection: A Review20201,731
Kernel methods in machine learning20081,618
Correcting Sample Selection Bias by Unlabeled Data20071,566
Toward Open Set Recognition20121,527

Links

DOI · OpenAlex record

Topics

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

Is this record sound?

complete

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

  • supports5 author record(s) attached.
  • supports60 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 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…