Who Cited It

The Boosting Approach to Machine Learning: An Overview

2003 · Lecture notes in statistics · 2,023 citations · 6 from inside this corpus

Robert E. Schapire

No abstract in the source record.

The Boosting Approach to Machine Learning: An Overview (2003)The Boosting Approach to Mach…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksGreedy function approximation: A gradient boosting machine. (2001)Greedy function approximation…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…A training algorithm for optimal margin classifiers (1992)A training algorithm for opti…UCI Repository of machine learning databases (1998)UCI Repository of machine lea…Experiments with a new boosting algorithm (1996)Experiments with a new boosti…Fast Effective Rule Induction (1995)Fast Effective Rule InductionThe Strength of Weak Learnability (1990)The Strength of Weak Learnabi…An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:… (2000)An Experimental Comparison of…Solving Multiclass Learning Problems via Error-Correcting Output Codes (1995)Solving Multiclass Learning P…An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia… (1999)An Empirical Comparison of Vo…Improved boosting algorithms using confidence-rated predictions (1998)Improved boosting algorithms …On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities (1971)On the Uniform Convergence of…Boosting the margin: a new explanation for the effectiveness of voting methods (1998)Boosting the margin: a new ex…UCI Repository of Machine Learning Databases (1996)UCI Repository of Machine Lea…BoosTexter: A Boosting-based System for Text Categorization (2000)BoosTexter: A Boosting-based …Improved Boosting Algorithms Using Confidence-rated Predictions (1999)Improved Boosting Algorithms …Learnability and the Vapnik-Chervonenkis dimension (1989)Learnability and the Vapnik-C…Boosting a Weak Learning Algorithm by Majority (1995)Boosting a Weak Learning Algo…What Size Net Gives Valid Generalization? (1989)What Size Net Gives Valid Gen…The Algorithmic Foundations of Differential Privacy (2013)The Algorithmic Foundations o…Gradient boosting machines, a tutorial (2013)Gradient boosting machines, a…Model compression (2006)Model compressionRotation Forest: A New Classifier Ensemble Method (2006)Rotation Forest: A New Classi…CLASSIFICATION OF IMBALANCED DATA: A REVIEW (2009)CLASSIFICATION OF IMBALANCED …Cost-sensitive boosting for classification of imbalanced data (2007)Cost-sensitive boosting for c…
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What this paper cites, inside the corpus

PaperYearCited
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
Greedy function approximation: A gradient boosting machine.200130,137
C4.5: Programs for Machine Learning199223,704
A training algorithm for optimal margin classifiers199211,664
UCI Repository of machine learning databases199810,546
Experiments with a new boosting algorithm19967,582
Fast Effective Rule Induction19953,810
The Strength of Weak Learnability19903,344
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…20002,962
Solving Multiclass Learning Problems via Error-Correcting Output Codes19952,729
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…19992,656
Improved boosting algorithms using confidence-rated predictions19982,573
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities19712,435
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
UCI Repository of Machine Learning Databases19962,343
BoosTexter: A Boosting-based System for Text Categorization20002,200
Improved Boosting Algorithms Using Confidence-rated Predictions19991,966
Learnability and the Vapnik-Chervonenkis dimension19891,855
Boosting a Weak Learning Algorithm by Majority19951,691
What Size Net Gives Valid Generalization?19891,559

What cites it, inside the corpus

PaperYearCited
The Algorithmic Foundations of Differential Privacy20134,058
Gradient boosting machines, a tutorial20133,896
Model compression20062,118
Rotation Forest: A New Classifier Ensemble Method20061,911
CLASSIFICATION OF IMBALANCED DATA: A REVIEW20091,713
Cost-sensitive boosting for classification of imbalanced data20071,438

Links

DOI · OpenAlex record

Topics

Machine Learning and AlgorithmsComputer Science
Machine Learning and Data ClassificationComputer Science
Imbalanced Data Classification TechniquesComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports88 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 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…