Who Cited It

Neural Networks and the Bias/Variance Dilemma

1992 · Neural Computation · 3,612 citations · 22 from inside this corpus

Stuart Geman low, Elie Bienenstock low, René Doursat

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.

Neural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…Learning representations by back-propagating errors (1986)Learning representations by b…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Classification and Regression Trees. (1986)Classification and Regression…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Approximation by superpositions of a sigmoidal function (1989)Approximation by superpositio…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Multivariate Adaptive Regression Splines (1991)Multivariate Adaptive Regress…An introduction to computing with neural nets (1987)An introduction to computing …Neural network ensembles (1990)Neural network ensemblesOn the approximate realization of continuous mappings by neural networks (1989)On the approximate realizatio…The Analysis of Binary Data. (1971)The Analysis of Binary Data.Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms (1963)What Size Net Gives Valid Generalization? (1989)What Size Net Gives Valid Gen…Neural networks and principal component analysis: Learning from examples without local mi… (1989)Neural networks and principal…Auto-association by multilayer perceptrons and singular value decomposition (1988)Auto-association by multilaye…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…A Tutorial on Support Vector Machines for Pattern Recognition (1998)A Tutorial on Support Vector …A training algorithm for optimal margin classifiers (1992)A training algorithm for opti…Extremely randomized trees (2006)Extremely randomized treesWrappers for feature subset selection (1997)Wrappers for feature subset s…Active Learning Literature Survey (2009)Active Learning Literature Su…Semi-Supervised Learning (2006)Semi-Supervised LearningAn introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Popular Ensemble Methods: An Empirical Study (1999)Popular Ensemble Methods: An …Human-level concept learning through probabilistic program induction (2015)Human-level concept learning …A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Hierarchical Mixtures of Experts and the EM Algorithm (1994)Hierarchical Mixtures of Expe…An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia… (1999)An Empirical Comparison of Vo…Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …Ensemble deep learning: A review (2022)Ensemble deep learning: A rev…Ensembling neural networks: Many could be better than all (2002)Ensembling neural networks: M…On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation (2010)Practical Recommendations for Gradient-Based Training of Deep Architectures (2012)Practical Recommendations for…Neural Network Ensembles, Cross Validation, and Active Learning (1994)Neural Network Ensembles, Cro…Neural networks for classification: a survey (2000)Neural networks for classific…Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks (2013)
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.
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What this paper cites, inside the corpus

PaperYearCited
Learning representations by back-propagating errors198631,688
Multilayer feedforward networks are universal approximators198921,633
Classification and Regression Trees.198621,044
Learning Internal Representations by Error Propagation198516,273
Approximation by superpositions of a sigmoidal function198913,884
Multilayer feedforward networks are universal approximators19899,357
Multivariate Adaptive Regression Splines19918,114
An introduction to computing with neural nets19877,871
Neural network ensembles19904,288
On the approximate realization of continuous mappings by neural networks19894,235
The Analysis of Binary Data.19712,289
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms19631,828
What Size Net Gives Valid Generalization?19891,559
Neural networks and principal component analysis: Learning from examples without local mi…19891,409
Auto-association by multilayer perceptrons and singular value decomposition19881,369

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
A Tutorial on Support Vector Machines for Pattern Recognition199816,488
A training algorithm for optimal margin classifiers199211,664
Extremely randomized trees20069,068
Wrappers for feature subset selection19978,991
Active Learning Literature Survey20094,788
Semi-Supervised Learning20064,334
An introduction to kernel-based learning algorithms20013,498
Popular Ensemble Methods: An Empirical Study19992,988
Human-level concept learning through probabilistic program induction20152,958
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Hierarchical Mixtures of Experts and the EM Algorithm19942,684
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…19992,656
Relational inductive biases, deep learning, and graph networks20182,406
Ensemble deep learning: A review20222,136
Ensembling neural networks: Many could be better than all20021,990
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation20101,988
Practical Recommendations for Gradient-Based Training of Deep Architectures20121,960
Neural Network Ensembles, Cross Validation, and Active Learning19941,803
Neural networks for classification: a survey20001,672
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks20131,562

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Topics

Neural Networks and ApplicationsComputer Science
Model Reduction and Neural NetworksPhysics and Astronomy
Machine Learning and Data ClassificationComputer Science

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