TY  - GEN
AU  - Rokach,Lior
TI  - Ensemble learning: : pattern classification using ensemble methods 
T2  - Machine Perception and Artificial Intelligence
SN  - 9789811201950
U1  - 006.31 23
PY  - 2019///
CY  - Singapore
PB  - World Scientific
KW  - Machine Learning
KW  - Ensemble Learning
KW  - Artificial Intelligence
KW  - Pattern Classification
KW  - Machine Perception
N1  - Includes bibliography and index; 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


N2  - This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced. Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and trade offs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.

ER  -