Who Cited It

Statistical Learning Theory

1999 · Technometrics · 26,957 citations · 44 from inside this corpus

Yuhai Wu, Vladimir Vapnik

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.

Statistical Learning Theory (1999)Statistical Learning TheoryThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…A Survey on Transfer Learning (2009)A Survey on Transfer LearningA Tutorial on Support Vector Machines for Pattern Recognition (1998)A Tutorial on Support Vector …Gaussian Processes for Machine Learning (2005)Gaussian Processes for Machin…The Graph Neural Network Model (2008)The Graph Neural Network ModelLeast Squares Support Vector Machine Classifiers (1999)Least Squares Support Vector …An overview of statistical learning theory (1999)An overview of statistical le…Survey of Clustering Algorithms (2005)Survey of Clustering Algorith…Estimating the Support of a High-Dimensional Distribution (2001)Estimating the Support of a H…mixup: Beyond Empirical Risk Minimization (2017)mixup: Beyond Empirical Risk …Semi-Supervised Learning (2006)Semi-Supervised LearningReal-Time Computing Without Stable States: A New Framework for Neural Computation Based o… (2002)Real-Time Computing Without S…Semi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…Learning with Local and Global Consistency (2003)Learning with Local and Globa…A theory of learning from different domains (2009)A theory of learning from dif…Support Vector Data Description (2003)Support Vector Data Descripti…An introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex… (2006)Manifold Regularization: A Ge…Understanding Machine Learning: From Theory To Algorithms (2015)Understanding Machine Learnin…Apprenticeship learning via inverse reinforcement learning (2004)Apprenticeship learning via i…Support Vector Machines for Classification and Regression (1998)Support Vector Machines for C…Universal Approximation using Incremental Constructive Feedforward Networks with Random H… (2006)Universal Approximation using…A survey on semi-supervised learning (2019)A survey on semi-supervised l…A gentle tutorial of the em algorithm and its application to parameter estimation for Gau… (1998)A gentle tutorial of the em a…Understanding deep learning (still) requires rethinking generalization (2021)Understanding deep learning (…Choosing Multiple Parameters for Support Vector Machines (2002)Choosing Multiple Parameters …Using AUC and accuracy in evaluating learning algorithms (2005)Using AUC and accuracy in eva…Support Vector Method for Novelty Detection (1999)Support Vector Method for Nov…Analysis of Representations for Domain Adaptation (2007)Analysis of Representations f…Large Margin Methods for Structured and Interdependent Output Variables (2005)Large Margin Methods for Stru…Extreme learning machines: a survey (2011)On Discriminative vs. Generative Classifiers: A comparison of logistic regression and nai… (2001)On Discriminative vs. Generat…kernlab - An S4 Package for Kernel Methods in R (2004)kernlab - An S4 Package for K…Introduction to Semi-Supervised Learning (2009)Introduction to Semi-Supervis…On the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…
36 of 37 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
The Nature of Statistical Learning Theory199539,409

What cites it, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
A Tutorial on Support Vector Machines for Pattern Recognition199816,488
Gaussian Processes for Machine Learning200510,470
The Graph Neural Network Model20089,662
Least Squares Support Vector Machine Classifiers19999,429
An overview of statistical learning theory19996,311
Survey of Clustering Algorithms20056,210
Estimating the Support of a High-Dimensional Distribution20016,097
mixup: Beyond Empirical Risk Minimization20174,806
Semi-Supervised Learning20064,334
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based o…20024,117
Semi-Supervised Learning Literature Survey20053,879
Learning with Local and Global Consistency20033,740
A theory of learning from different domains20093,607
Support Vector Data Description20033,526
An introduction to kernel-based learning algorithms20013,498
Prediction, Learning, and Games20063,279
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…20063,266
Understanding Machine Learning: From Theory To Algorithms20153,081
Apprenticeship learning via inverse reinforcement learning20042,895
Support Vector Machines for Classification and Regression19982,831
Universal Approximation using Incremental Constructive Feedforward Networks with Random H…20062,636
A survey on semi-supervised learning20192,636
A gentle tutorial of the em algorithm and its application to parameter estimation for Gau…19982,510
Understanding deep learning (still) requires rethinking generalization20212,370
Choosing Multiple Parameters for Support Vector Machines20022,183
Using AUC and accuracy in evaluating learning algorithms20052,163
Support Vector Method for Novelty Detection19992,067
Analysis of Representations for Domain Adaptation20072,044
Large Margin Methods for Structured and Interdependent Output Variables20051,957
Extreme learning machines: a survey20111,932
On Discriminative vs. Generative Classifiers: A comparison of logistic regression and nai…20011,888
kernlab - An S4 Package for Kernel Methods in R20041,864
Introduction to Semi-Supervised Learning20091,812
On the algorithmic implementation of multiclass kernel-based vector machines20021,789

Links

DOI · OpenAlex record

Topics

Evolutionary Algorithms and ApplicationsComputer Science
Metaheuristic Optimization Algorithms ResearchComputer Science
Neural Networks and ApplicationsComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports1 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…