Ensemble Methods
portes grátis
Ensemble Methods
Foundations and Algorithms
Zhou, Zhi-Hua
Taylor & Francis Ltd
03/2025
348
Dura
9781032960609
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Preface Notations 1. Introduction 2. Boosting 3. Bagging 4. Combination Methods 5. Diversity 6. Ensemble Pruning 7. Clustering Ensemble 8. Anomaly Detection and Isolation Forest 9. Semi-Supervised Ensemble 10. Class-Imbalance and Cost-Sensitive Ensemble 11. Deep Learning and Deep Forest 12. Advanced Topics References Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Ensemble Methods;machine learning;pattern recognition;Boosting;Bagging;Random Forest;information theoretic diversity;ensemble pruning;Clustering Ensemble;ensemble methods in computer vision;ensemble methods in computer security;ensemble methods in medical imaging;ensemble methods in data mining;Learning Algorithms;Semi-Supervised Learning
Preface Notations 1. Introduction 2. Boosting 3. Bagging 4. Combination Methods 5. Diversity 6. Ensemble Pruning 7. Clustering Ensemble 8. Anomaly Detection and Isolation Forest 9. Semi-Supervised Ensemble 10. Class-Imbalance and Cost-Sensitive Ensemble 11. Deep Learning and Deep Forest 12. Advanced Topics References Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Ensemble Methods;machine learning;pattern recognition;Boosting;Bagging;Random Forest;information theoretic diversity;ensemble pruning;Clustering Ensemble;ensemble methods in computer vision;ensemble methods in computer security;ensemble methods in medical imaging;ensemble methods in data mining;Learning Algorithms;Semi-Supervised Learning
