Ensemble learning: pattern classification using ensemble methods /
xv, 284 pages, diagrams; 23 cm. - (Machine Perception and Artificial Intelligence; 85) Content notes : Preface
1. Introduction to machine learning
2. Classification and Regression trees
3. Introduction to Ensemble learning
4. Ensemble Classification
5. Gradient Boosting Machines
6. Ensemble Diversity
7. Ensemble Selection
8. error Correcting Output Codes
9. Evaluating Ensembles of Classifiers
Bibliography
Index
Ensemble Learning Artificial Intelligence Pattern Classification Machine Perception