Improved Boosting Algorithms Using Confidence-rated Predictions

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• A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Improved Boosting Algorithms Using Confidence-rated PredictionsLegacy edge — source detail unavailable
• Learning from class-imbalanced data: Review of methods and applications→Improved Boosting Algorithms Using Confidence-rated PredictionsLegacy edge — source detail unavailable
• Classifier chains for multi-label classification→Improved Boosting Algorithms Using Confidence-rated PredictionsLegacy edge — source detail unavailable
• The Boosting Approach to Machine Learning: An Overview→Improved Boosting Algorithms Using Confidence-rated PredictionsLegacy edge — source detail unavailable
• Rotation Forest: A New Classifier Ensemble Method→Improved Boosting Algorithms Using Confidence-rated PredictionsLegacy edge — source detail unavailable
• Word sense disambiguation→Improved Boosting Algorithms Using Confidence-rated PredictionsLegacy 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 OF IMBALANCED DATA: A REVIEW→Improved Boosting Algorithms Using Confidence-rated PredictionsLegacy edge — source detail unavailable
• Cost-sensitive boosting for classification of imbalanced data→Improved Boosting Algorithms Using Confidence-rated PredictionsLegacy edge — source detail unavailable
• Improved Boosting Algorithms Using Confidence-rated Predictions→UCI Repository of machine learning databasesLegacy 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→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy 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→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
• Improved Boosting Algorithms Using Confidence-rated Predictions→What Size Net Gives Valid Generalization?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→UCI Repository of machine learning databasesLegacy 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→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
• CLASSIFICATION OF IMBALANCED DATA: A REVIEW→Cost-sensitive boosting for classification of imbalanced dataLegacy edge — source detail unavailable
• CLASSIFICATION OF IMBALANCED DATA: A REVIEW→The Boosting Approach to Machine Learning: An OverviewLegacy edge — source detail unavailable
• A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→CLASSIFICATION OF IMBALANCED DATA: A REVIEWLegacy edge — source detail unavailable
• A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Cost-sensitive boosting for classification of imbalanced dataLegacy edge — source detail unavailable
• Cost-sensitive boosting for classification of imbalanced data→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
• Cost-sensitive boosting for classification of imbalanced data→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
• Cost-sensitive boosting for classification of imbalanced data→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
• Cost-sensitive boosting for classification of imbalanced data→The Boosting Approach to Machine Learning: An OverviewLegacy edge — source detail unavailable
• Rotation Forest: A New Classifier Ensemble Method→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
• Rotation Forest: A New Classifier Ensemble Method→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
• Rotation Forest: A New Classifier Ensemble Method→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
• Rotation Forest: A New Classifier Ensemble Method→The Boosting Approach to Machine Learning: An OverviewLegacy 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…→UCI Repository of machine learning databasesLegacy 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
• 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→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
• The Boosting Approach to Machine Learning: An Overview→Solving Multiclass Learning Problems via Error-Correcting Output CodesLegacy edge — source detail unavailable
• The Boosting Approach to Machine Learning: An Overview→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
• The Boosting Approach to Machine Learning: An Overview→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
• The Boosting Approach to Machine Learning: An Overview→Experiments with a new boosting algorithmLegacy edge — source detail unavailable
• The Boosting Approach to Machine Learning: An Overview→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
• The Boosting Approach to Machine Learning: An Overview→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
• Learning from class-imbalanced data: Review of methods and applications→CLASSIFICATION OF IMBALANCED DATA: A REVIEWLegacy edge — source detail unavailable
• Learning from class-imbalanced data: Review of methods and applications→A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…Legacy edge — source detail unavailable
• Learning from class-imbalanced data: Review of methods and applications→Cost-sensitive boosting for classification of imbalanced dataLegacy edge — source detail unavailable
• Learning from class-imbalanced data: Review of methods and applications→Experiments with a new boosting algorithmLegacy edge — source detail unavailable