Who Cited It

Trends in extreme learning machines: A review

2014 · Neural Networks · 1,752 citations · 0 from inside this corpus

Gao Huang, Guang-Bin Huang, Shiji Song, Keyou You

No abstract in the source record.

Trends in extreme learning machines: A review (2014)Trends in extreme learning ma…Support-vector networks (1995)Support-vector networksThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksLearning representations by back-propagating errors (1986)Learning representations by b…Extreme learning machine: Theory and applications (2006)Extreme learning machine: The…The perceptron: A probabilistic model for information storage and organization in the bra… (1958)The perceptron: A probabilist…The Nature of Statistical Learning Theory (2000)The Nature of Statistical Lea…Least Squares Support Vector Machine Classifiers (1999)Least Squares Support Vector …Training feedforward networks with the Marquardt algorithm (1994)Training feedforward networks…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Extreme Learning Machine for Regression and Multiclass Classification (2011)Extreme Learning Machine for …Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Extreme learning machine: a new learning scheme of feedforward neural networks (2005)Extreme learning machine: a n…Orthogonal least squares learning algorithm for radial basis function networks (1991)Orthogonal least squares lear…Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex… (2006)Manifold Regularization: A Ge…Random Features for Large-Scale Kernel Machines (2007)Random Features for Large-Sca…Universal Approximation using Incremental Constructive Feedforward Networks with Random H… (2006)Universal Approximation using…Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex… (2006)Manifold Regularization: A Ge…A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks (2006)A Fast and Accurate Online Se…Extreme learning machines: a survey (2011)Extreme learning machines: a …Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms (1963)Principles of Neurodynamics: …Support Vector Machine (2015)Support Vector Machine
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What this paper cites, inside the corpus

PaperYearCited
Support-vector networks199541,028
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
Learning representations by back-propagating errors198631,688
Extreme learning machine: Theory and applications200613,310
The perceptron: A probabilistic model for information storage and organization in the bra…195811,965
The Nature of Statistical Learning Theory200010,734
Least Squares Support Vector Machine Classifiers19999,429
Training feedforward networks with the Marquardt algorithm19947,739
Learning Deep Architectures for AI20096,951
Extreme Learning Machine for Regression and Multiclass Classification20115,581
Learning Deep Architectures for AI20095,077
Extreme learning machine: a new learning scheme of feedforward neural networks20054,122
Orthogonal least squares learning algorithm for radial basis function networks19913,373
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…20063,266
Random Features for Large-Scale Kernel Machines20072,646
Universal Approximation using Incremental Constructive Feedforward Networks with Random H…20062,636
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…20062,132
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks20061,981
Extreme learning machines: a survey20111,932
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms19631,828
Support Vector Machine20151,599

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Topics

Machine Learning and ELMComputer Science
Advanced Memory and Neural ComputingEngineering
Neural Networks and ApplicationsComputer Science

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complete

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  • supports4 author record(s) attached.
  • supports237 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

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Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:53+00:00.

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