Who Cited It

Improved boosting algorithms using confidence-rated predictions

1998 · 2,573 citations · 19 from inside this corpus

Robert E. Schapire, Yoram Singer

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.

Improved boosting algorithms using confidence-rated predictions (1998)Improved boosting algorithms …Advances in neural information processing systems 7 (1996)Advances in neural informatio…Experiments with a new boosting algorithm (1996)Experiments with a new boosti…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)An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia… (1999)An Empirical Comparison of Vo…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…What Size Net Gives Valid Generalization? (1989)What Size Net Gives Valid Gen…Greedy function approximation: A gradient boosting machine. (2001)Greedy function approximation…Ensemble Methods in Machine Learning (2000)Ensemble Methods in Machine L…ML-KNN: A lazy learning approach to multi-label learning (2007)ML-KNN: A lazy learning appro…Ensemble learning: A survey (2018)Ensemble learning: A surveyA Short Introduction to Boosting (1999)A Short Introduction to Boost…A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Learning from class-imbalanced data: Review of methods and applications (2016)Learning from class-imbalance…Boosting the margin: a new explanation for the effectiveness of voting methods (1998)Boosting the margin: a new ex…Classifier chains for multi-label classification (2011)Classifier chains for multi-l…BoosTexter: A Boosting-based System for Text Categorization (2000)BoosTexter: A Boosting-based …The Boosting Approach to Machine Learning: An Overview (2003)The Boosting Approach to Mach…Multi-class AdaBoost (2009)Multi-class AdaBoostRotation Forest: A New Classifier Ensemble Method (2006)Rotation Forest: A New Classi…Word sense disambiguation (2009)Word sense disambiguationOn the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…Classification in the Presence of Label Noise: A Survey (2014)Classification in the Presenc…CLASSIFICATION OF IMBALANCED DATA: A REVIEW (2009)CLASSIFICATION OF IMBALANCED …Online Passive-Aggressive Algorithms (2006)Online Passive-Aggressive Alg…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
Advances in neural information processing systems 7199614,393
Experiments with a new boosting algorithm19967,582
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
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
UCI Repository of Machine Learning Databases19962,343
What Size Net Gives Valid Generalization?19891,559

What cites it, inside the corpus

PaperYearCited
Greedy function approximation: A gradient boosting machine.200130,137
Ensemble Methods in Machine Learning20008,058
ML-KNN: A lazy learning approach to multi-label learning20073,587
Ensemble learning: A survey20183,088
A Short Introduction to Boosting19992,952
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Learning from class-imbalanced data: Review of methods and applications20162,407
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
Classifier chains for multi-label classification20112,307
BoosTexter: A Boosting-based System for Text Categorization20002,200
The Boosting Approach to Machine Learning: An Overview20032,023
Multi-class AdaBoost20091,916
Rotation Forest: A New Classifier Ensemble Method20061,911
Word sense disambiguation20091,832
On the algorithmic implementation of multiclass kernel-based vector machines20021,789
Classification in the Presence of Label Noise: A Survey20141,777
CLASSIFICATION OF IMBALANCED DATA: A REVIEW20091,713
Online Passive-Aggressive Algorithms20061,453
Cost-sensitive boosting for classification of imbalanced data20071,438

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Topics

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

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complete

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  • supports2 author record(s) attached.
  • supports27 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.

sha256 a2172c1bbe00c44b…