Ensemble learning: pattern classification using ensemble methods / Lior Rokach
Series: Machine Perception and Artificial Intelligence ; 85Publication details: Singapore: World Scientific, 2019Edition: 2ndDescription: xv, 284 pages, diagrams; 23 cmISBN:- 9789811201950
- 23 006.31 R742
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 006.31 R742 (Browse shelf(Opens below)) | Available | 138444 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
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
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.
There are no comments on this title.