Boosting the margin: a new explanation for the effectiveness of voting methods

1998 · The Annals of Statistics · 2,344 citations · 20 from inside this corpus

Peter L. Bartlett, Yoav Freund, Wee Sun Lee low, Robert E. Schapire

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.

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

Paper	Year	Cited
Support-vector networks	1995	41,028
The Nature of Statistical Learning Theory	1995	39,409
Support-Vector Networks	1995	33,914
Bagging Predictors	1996	17,191
A training algorithm for optimal margin classifiers	1992	11,664
UCI Repository of machine learning databases	1998	10,546
Experiments with a new boosting algorithm	1996	7,582
The Strength of Weak Learnability	1990	3,344
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…	2000	2,962
Universal approximation bounds for superpositions of a sigmoidal function	1993	2,880
Solving Multiclass Learning Problems via Error-Correcting Output Codes	1995	2,729
Improved boosting algorithms using confidence-rated predictions	1998	2,573
The strength of weak learnability	1990	2,477
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities	1971	2,435
UCI Repository of Machine Learning Databases	1996	2,343
Boosting a Weak Learning Algorithm by Majority	1995	1,691
What Size Net Gives Valid Generalization?	1989	1,559

What cites it, inside the corpus

Paper	Year	Cited
Random Forests	2001	131,109
On combining classifiers	1998	5,302
An introduction to kernel-based learning algorithms	2001	3,498
Popular Ensemble Methods: An Empirical Study	1999	2,988
Ensemble based systems in decision making	2006	2,965
A Short Introduction to Boosting	1999	2,952
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…	1999	2,656
Improved boosting algorithms using confidence-rated predictions	1998	2,573
BoosTexter: A Boosting-based System for Text Categorization	2000	2,200
Ensemble deep learning: A review	2022	2,136
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results	2001	2,126
The Boosting Approach to Machine Learning: An Overview	2003	2,023
Improved Boosting Algorithms Using Confidence-rated Predictions	1999	1,966
Multi-class AdaBoost	2009	1,916
Rotation Forest: A New Classifier Ensemble Method	2006	1,911
Classification in the Presence of Label Noise: A Survey	2014	1,777
Reconciling modern machine-learning practice and the classical bias–variance trade-off	2019	1,561
Quantile Regression Forests	2006	1,506
Inductive learning algorithms and representations for text categorization	1998	1,469

Links

DOI · Open access copy · OpenAlex record

Topics

Imbalanced Data Classification Techniques	Computer Science
Machine Learning and Algorithms	Computer Science
Advanced Bandit Algorithms Research	Decision Sciences

Is this record sound?

complete

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

supports4 author record(s) attached.
supports47 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 2026-09-04T03:58:49+00:00.

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