Who Cited It

Kernel methods in machine learning

2008 · The Annals of Statistics · 1,618 citations · 4 from inside this corpus

No author records on this work.

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.

Kernel methods in machine learning (2008)Kernel methods in machine lea…Support-vector networks (1995)Support-vector networksThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…A training algorithm for optimal margin classifiers (1992)A training algorithm for opti…Nonlinear Component Analysis as a Kernel Eigenvalue Problem (1998)Nonlinear Component Analysis …Experiments with a new boosting algorithm (1996)Experiments with a new boosti…Estimating the Support of a High-Dimensional Distribution (2001)Estimating the Support of a H…Graphical Models, Exponential Families, and Variational Inference (2007)Graphical Models, Exponential…Support Vector Method for Function Approximation, Regression Estimation and Signal Proces… (1996)Support Vector Method for Fun…On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities (1971)On the Uniform Convergence of…Large Margin Methods for Structured and Interdependent Output Variables (2005)Large Margin Methods for Stru…On the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…Recent advances in physical reservoir computing: A review (2019)Recent advances in physical r…Quantum Support Vector Machine for Big Data Classification (2014)Quantum Support Vector Machin…Quantum Machine Learning in Feature Hilbert Spaces (2019)Quantum Machine Learning in F…Noisy intermediate-scale quantum algorithms (2022)Noisy intermediate-scale quan…
15 of 15 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
Support-vector networks199541,028
The Nature of Statistical Learning Theory199539,409
A training algorithm for optimal margin classifiers199211,664
Nonlinear Component Analysis as a Kernel Eigenvalue Problem19988,138
Experiments with a new boosting algorithm19967,582
Estimating the Support of a High-Dimensional Distribution20016,097
Graphical Models, Exponential Families, and Variational Inference20073,171
Support Vector Method for Function Approximation, Regression Estimation and Signal Proces…19962,704
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities19712,435
Large Margin Methods for Structured and Interdependent Output Variables20051,957
On the algorithmic implementation of multiclass kernel-based vector machines20021,789

What cites it, inside the corpus

PaperYearCited
Recent advances in physical reservoir computing: A review20192,125
Quantum Support Vector Machine for Big Data Classification20142,010
Quantum Machine Learning in Feature Hilbert Spaces20191,799
Noisy intermediate-scale quantum algorithms20221,770

Links

DOI · Open access copy · OpenAlex record

Topics

Gaussian Processes and Bayesian InferenceComputer Science
Stochastic Gradient Optimization TechniquesComputer Science
Statistical Methods and InferenceMathematics

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partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports116 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 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…