Who Cited It

A Short Introduction to Boosting

1999 · 2,952 citations · 4 from inside this corpus

Yoav Freund, 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.

A Short Introduction to Boosting (1999)A Short Introduction to Boost…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksC4.5: 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 …Boosting the margin: a new explanation for the effectiveness of voting methods (1998)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 …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…Classifier chains for multi-label classification (2011)Classifier chains for multi-l…RUSBoost: A Hybrid Approach to Alleviating Class Imbalance (2009)RUSBoost: A Hybrid Approach t…Word sense disambiguation (2009)Word sense disambiguationClassification in the Presence of Label Noise: A Survey (2014)Classification in the Presenc…
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
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
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
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
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
Classifier chains for multi-label classification20112,307
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance20091,890
Word sense disambiguation20091,832
Classification in the Presence of Label Noise: A Survey20141,777

Links

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Topics

Machine Learning and AlgorithmsComputer Science
Machine Learning and Data ClassificationComputer Science
Face and Expression RecognitionComputer Science

Is this record sound?

complete

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

  • supports2 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 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…