A Short Introduction to Boosting
Yoav Freund, Robert E. Schapire
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- Classifier chains for multi-label classification→A Short Introduction to BoostingLegacy edge — source detail unavailable
- RUSBoost: A Hybrid Approach to Alleviating Class Imbalance→A Short Introduction to BoostingLegacy edge — source detail unavailable
- Word sense disambiguation→A Short Introduction to BoostingLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→A Short Introduction to BoostingLegacy edge — source detail unavailable
- A Short Introduction to Boosting→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- A Short Introduction to Boosting→Support-Vector NetworksLegacy edge — source detail unavailable
- A Short Introduction to Boosting→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
- A Short Introduction to Boosting→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
- A Short Introduction to Boosting→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
- A Short Introduction to Boosting→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
- A Short Introduction to Boosting→Fast Effective Rule InductionLegacy edge — source detail unavailable
- A Short Introduction to Boosting→The Strength of Weak LearnabilityLegacy edge — source detail unavailable
- A Short Introduction to Boosting→An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…Legacy edge — source detail unavailable
- A Short Introduction to Boosting→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
- A Short Introduction to Boosting→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
- A Short Introduction to Boosting→Improved boosting algorithms using confidence-rated predictionsLegacy edge — source detail unavailable
- A Short Introduction to Boosting→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
- A Short Introduction to Boosting→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
- A Short Introduction to Boosting→BoosTexter: A Boosting-based System for Text CategorizationLegacy edge — source detail unavailable
- A Short Introduction to Boosting→Learnability and the Vapnik-Chervonenkis dimensionLegacy edge — source detail unavailable
- A Short Introduction to Boosting→Boosting a Weak Learning Algorithm by MajorityLegacy edge — source detail unavailable
- A Short Introduction to Boosting→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
- Fast Effective Rule Induction→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
- Solving Multiclass Learning Problems via Error-Correcting Output Codes→The Strength of Weak LearnabilityLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…Legacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→Improved boosting algorithms using confidence-rated predictionsLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→Boosting a Weak Learning Algorithm by MajorityLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→The Strength of Weak LearnabilityLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→Support-Vector NetworksLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
- Boosting the margin: a new explanation for the effectiveness of voting methods→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
- Classifier chains for multi-label classification→Improved boosting algorithms using confidence-rated predictionsLegacy edge — source detail unavailable
- Classifier chains for multi-label classification→BoosTexter: A Boosting-based System for Text CategorizationLegacy edge — source detail unavailable
- Improved boosting algorithms using confidence-rated predictions→An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…Legacy edge — source detail unavailable
- Improved boosting algorithms using confidence-rated predictions→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
- Improved boosting algorithms using confidence-rated predictions→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
- Improved boosting algorithms using confidence-rated predictions→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
- Improved boosting algorithms using confidence-rated predictions→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
- Improved boosting algorithms using confidence-rated predictions→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
- Improved boosting algorithms using confidence-rated predictions→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
- BoosTexter: A Boosting-based System for Text Categorization→Fast Effective Rule InductionLegacy edge — source detail unavailable
- BoosTexter: A Boosting-based System for Text Categorization→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
- BoosTexter: A Boosting-based System for Text Categorization→Improved boosting algorithms using confidence-rated predictionsLegacy edge — source detail unavailable
- BoosTexter: A Boosting-based System for Text Categorization→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
- A training algorithm for optimal margin classifiers→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
- The Strength of Weak Learnability→Learnability and the Vapnik-Chervonenkis dimensionLegacy edge — source detail unavailable
- RUSBoost: A Hybrid Approach to Alleviating Class Imbalance→Fast Effective Rule InductionLegacy edge — source detail unavailable
- RUSBoost: A Hybrid Approach to Alleviating Class Imbalance→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
- RUSBoost: A Hybrid Approach to Alleviating Class Imbalance→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
- RUSBoost: A Hybrid Approach to Alleviating Class Imbalance→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
- Experiments with a new boosting algorithm→Fast Effective Rule InductionLegacy edge — source detail unavailable
- Experiments with a new boosting algorithm→Boosting a Weak Learning Algorithm by MajorityLegacy edge — source detail unavailable
- Experiments with a new boosting algorithm→The Strength of Weak LearnabilityLegacy edge — source detail unavailable
- Experiments with a new boosting algorithm→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
- Support-Vector Networks→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→Boosting a Weak Learning Algorithm by MajorityLegacy edge — source detail unavailable
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→The Strength of Weak LearnabilityLegacy edge — source detail unavailable
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
- Learnability and the Vapnik-Chervonenkis dimension→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
- What Size Net Gives Valid Generalization?→Learnability and the Vapnik-Chervonenkis dimensionLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…Legacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→Improved boosting algorithms using confidence-rated predictionsLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
- Word sense disambiguation→Improved boosting algorithms using confidence-rated predictionsLegacy edge — source detail unavailable
- Word sense disambiguation→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Classifier chains for multi-label classification | 2011 | 2,307 |
| RUSBoost: A Hybrid Approach to Alleviating Class Imbalance | 2009 | 1,890 |
| Word sense disambiguation | 2009 | 1,832 |
| Classification in the Presence of Label Noise: A Survey | 2014 | 1,777 |
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Topics
| Machine Learning and Algorithms | Computer Science |
| Machine Learning and Data Classification | Computer Science |
| Face and Expression Recognition | Computer Science |
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