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…
27 of 27 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.
this paper works it cites works citing it node size = global citations · hover for the full title

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

Links

DOI · OpenAlex record

Topics

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

Is this record sound?

complete

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

  • 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…