Who Cited It

Extreme learning machines: a survey

2011 · International Journal of Machine Learning and Cybernetics · 1,932 citations · 1 from inside this corpus

Guang-Bin Huang, Dian Hui Wang low, Yuan Lan

No abstract in the source record.

Extreme learning machines: a survey (2011)Extreme learning machines: a …Support-Vector Networks (1995)Support-Vector NetworksLearning representations by back-propagating errors (1986)Learning representations by b…Statistical Learning Theory (1999)Statistical Learning TheoryMultilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Bagging Predictors (1996)Bagging PredictorsApproximation by superpositions of a sigmoidal function (1989)Approximation by superpositio…Extreme learning machine: Theory and applications (2006)Extreme learning machine: The…Least Squares Support Vector Machine Classifiers (1999)Least Squares Support Vector …Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Approximation capabilities of multilayer feedforward networks (1991)Approximation capabilities of…Neural network ensembles (1990)Neural network ensemblesOn the approximate realization of continuous mappings by neural networks (1989)On the approximate realizatio…Universal Approximation Using Radial-Basis-Function Networks (1991)Universal Approximation Using…Extreme learning machine: a new learning scheme of feedforward neural networks (2005)Extreme learning machine: a n…Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks (1988)Radial Basis Functions, Multi…The Strength of Weak Learnability (1990)The Strength of Weak Learnabi…Universal approximation bounds for superpositions of a sigmoidal function (1993)Universal approximation bound…Universal Approximation using Incremental Constructive Feedforward Networks with Random H… (2006)Universal Approximation using…A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks (2006)A Fast and Accurate Online Se…Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms (1963)Principles of Neurodynamics: …Boosting a Weak Learning Algorithm by Majority (1995)Boosting a Weak Learning Algo…Trends in extreme learning machines: A review (2014)Trends in extreme learning ma…
22 of 22 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 Networks199533,914
Learning representations by back-propagating errors198631,688
Statistical Learning Theory199926,957
Multilayer feedforward networks are universal approximators198921,633
Bagging Predictors199617,191
Approximation by superpositions of a sigmoidal function198913,884
Extreme learning machine: Theory and applications200613,310
Least Squares Support Vector Machine Classifiers19999,429
Multilayer feedforward networks are universal approximators19899,357
Approximation capabilities of multilayer feedforward networks19916,176
Neural network ensembles19904,288
On the approximate realization of continuous mappings by neural networks19894,235
Universal Approximation Using Radial-Basis-Function Networks19914,129
Extreme learning machine: a new learning scheme of feedforward neural networks20054,122
Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks19883,442
The Strength of Weak Learnability19903,344
Universal approximation bounds for superpositions of a sigmoidal function19932,880
Universal Approximation using Incremental Constructive Feedforward Networks with Random H…20062,636
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks20061,981
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms19631,828
Boosting a Weak Learning Algorithm by Majority19951,691

What cites it, inside the corpus

PaperYearCited
Trends in extreme learning machines: A review20141,752

Links

DOI · OpenAlex record

Topics

Machine Learning and ELMComputer Science
Advanced Memory and Neural ComputingEngineering
Domain Adaptation and Few-Shot LearningComputer Science

Is this record sound?

complete

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

  • supports3 author record(s) attached.
  • supports129 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 2026-09-04T03:58:52+00:00.

sha256 930f5bc64fea8a60…