Who Cited It

Support-vector networks

1995 · Machine Learning · 41,028 citations · 21 from inside this corpus

Corinna Cortes, Vladimir Vapnik

No abstract in the source record.

Support-vector networks (1995)Support-vector networksLearning representations by back-propagating errors (1986)Learning representations by b…Parallel Distributed Processing (1986)Parallel Distributed Processi…A training algorithm for optimal margin classifiers (1992)A training algorithm for opti…Learning Internal Representations by Error Propagation (1988)Learning Internal Representat…Advances in Neural Information Processing Systems 37 (2024)Advances in Neural Informatio…Nonlinear Component Analysis as a Kernel Eigenvalue Problem (1998)Nonlinear Component Analysis …An overview of statistical learning theory (1999)An overview of statistical le…Extreme Learning Machine for Regression and Multiclass Classification (2011)Extreme Learning Machine for …Semi-Supervised Learning (2006)Semi-Supervised LearningAn introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases … (2017)Diagnostic Assessment of Deep…Sentiment analysis algorithms and applications: A survey (2014)Sentiment analysis algorithms…A Survey on Evaluation of Large Language Models (2024)A Survey on Evaluation of Lar…Deep Learning for Anomaly Detection (2021)Deep Learning for Anomaly Det…Boosting the margin: a new explanation for the effectiveness of voting methods (1998)Boosting the margin: a new ex…Choosing Multiple Parameters for Support Vector Machines (2002)Choosing Multiple Parameters …Quantum Support Vector Machine for Big Data Classification (2014)Quantum Support Vector Machin…A Dataset for Breast Cancer Histopathological Image Classification (2015)A Dataset for Breast Cancer H…Noisy intermediate-scale quantum algorithms (2022)Noisy intermediate-scale quan…Trends in extreme learning machines: A review (2014)Trends in extreme learning ma…Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…AutoML: A survey of the state-of-the-art (2020)AutoML: A survey of the state…Kernel methods in machine learning (2008)Kernel methods in machine lea…An insight into classification with imbalanced data: Empirical results and current trends… (2013)An insight into classificatio…Machine learning predictive models for mineral prospectivity: An evaluation of neural net… (2015)Machine learning predictive m…Comparing support vector machines with Gaussian kernels to radial basis function classifi… (1997)Comparing support vector mach…
26 of 26 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
Learning representations by back-propagating errors198631,688
Parallel Distributed Processing198615,411
A training algorithm for optimal margin classifiers199211,664
Learning Internal Representations by Error Propagation19883,036
Advances in Neural Information Processing Systems 3720242,802

What cites it, inside the corpus

PaperYearCited
Nonlinear Component Analysis as a Kernel Eigenvalue Problem19988,138
An overview of statistical learning theory19996,311
Extreme Learning Machine for Regression and Multiclass Classification20115,581
Semi-Supervised Learning20064,334
An introduction to kernel-based learning algorithms20013,498
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases …20173,388
Sentiment analysis algorithms and applications: A survey20143,264
A Survey on Evaluation of Large Language Models20242,736
Deep Learning for Anomaly Detection20212,635
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
Choosing Multiple Parameters for Support Vector Machines20022,183
Quantum Support Vector Machine for Big Data Classification20142,010
A Dataset for Breast Cancer Histopathological Image Classification20151,822
Noisy intermediate-scale quantum algorithms20221,770
Trends in extreme learning machines: A review20141,752
Deep Learning for Anomaly Detection: A Review20201,731
AutoML: A survey of the state-of-the-art20201,705
Kernel methods in machine learning20081,618
An insight into classification with imbalanced data: Empirical results and current trends…20131,602
Machine learning predictive models for mineral prospectivity: An evaluation of neural net…20151,570
Comparing support vector machines with Gaussian kernels to radial basis function classifi…19971,414

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.

  • supports2 author record(s) attached.
  • supports14 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 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…