Neural Network Ensembles, Cross Validation, and Active Learning
Anders Krogh, Jesper Vedelsby low
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Citation edge evidence
- Wrappers for feature subset selection→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Pattern Recognition and Neural Networks→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- On combining classifiers→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Semi-Supervised Learning→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Boosting Adversarial Attacks with Momentum→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Popular Ensemble Methods: An Empirical Study→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac…→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Ensemble deep learning: A review→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Ensembling neural networks: Many could be better than all→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- A survey on ensemble learning→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Neural networks for classification: a survey→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Ensemble Machine Learning→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Adaptive Computation and Machine Learning→Neural Network Ensembles, Cross Validation, and Active LearningLegacy edge — source detail unavailable
- Neural Network Ensembles, Cross Validation, and Active Learning→Stacked generalizationLegacy edge — source detail unavailable
- Neural Network Ensembles, Cross Validation, and Active Learning→Neural network ensemblesLegacy edge — source detail unavailable
- Neural Network Ensembles, Cross Validation, and Active Learning→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
- Neural Network Ensembles, Cross Validation, and Active Learning→Query by committeeLegacy edge — source detail unavailable
- Semi-Supervised Learning→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
- Semi-Supervised Learning→Pattern Recognition and Neural NetworksLegacy edge — source detail unavailable
- Wrappers for feature subset selection→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
- Wrappers for feature subset selection→Stacked generalizationLegacy edge — source detail unavailable
- Neural Networks and the Bias/Variance Dilemma→Neural network ensemblesLegacy edge — source detail unavailable
- A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
- A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac…Legacy edge — source detail unavailable
- A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→On combining classifiersLegacy edge — source detail unavailable
- Ensembling neural networks: Many could be better than all→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
- Ensembling neural networks: Many could be better than all→Popular Ensemble Methods: An Empirical StudyLegacy edge — source detail unavailable
- Ensembling neural networks: Many could be better than all→Neural network ensemblesLegacy edge — source detail unavailable
- Ensembling neural networks: Many could be better than all→Stacked generalizationLegacy edge — source detail unavailable
- Popular Ensemble Methods: An Empirical Study→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
- Popular Ensemble Methods: An Empirical Study→Neural network ensemblesLegacy edge — source detail unavailable
- Popular Ensemble Methods: An Empirical Study→Stacked generalizationLegacy edge — source detail unavailable
- Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac…→Neural network ensemblesLegacy edge — source detail unavailable
- Neural networks for classification: a survey→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
- Neural networks for classification: a survey→Neural network ensemblesLegacy edge — source detail unavailable
- Neural networks for classification: a survey→On combining classifiersLegacy edge — source detail unavailable
- Neural networks for classification: a survey→Stacked generalizationLegacy edge — source detail unavailable
- On combining classifiers→Neural network ensemblesLegacy edge — source detail unavailable
- On combining classifiers→Stacked generalizationLegacy edge — source detail unavailable
- Ensemble Machine Learning→Pattern Recognition and Neural NetworksLegacy edge — source detail unavailable
- Boosting Adversarial Attacks with Momentum→Neural network ensemblesLegacy edge — source detail unavailable
- A survey on ensemble learning→A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…Legacy edge — source detail unavailable
- A survey on ensemble learning→Ensembling neural networks: Many could be better than allLegacy edge — source detail unavailable
- A survey on ensemble learning→Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac…Legacy edge — source detail unavailable
- Ensemble deep learning: A review→Neural Networks and the Bias/Variance DilemmaLegacy edge — source detail unavailable
- Ensemble deep learning: A review→Neural network ensemblesLegacy edge — source detail unavailable
- Ensemble deep learning: A review→Stacked generalizationLegacy edge — source detail unavailable
- Adaptive Computation and Machine Learning→Neural network ensemblesLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Stacked generalization | 1992 | 7,777 |
| Neural network ensembles | 1990 | 4,288 |
| Neural Networks and the Bias/Variance Dilemma | 1992 | 3,612 |
| Query by committee | 1992 | 1,673 |
What cites it, inside the corpus
Links
Topics
| Machine Learning and Algorithms | Computer Science |
| Neural Networks and Applications | Computer Science |
| Reservoir Engineering and Simulation Methods | Engineering |
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Nothing in this record contradicts itself and no field we check is missing.
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- neutralThe DOI carries no year to check against.
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