By Ludmila I. Kuncheva
The paintings and technology of mixing trend classifiers has flourished right into a prolific self-discipline because the first version of Combining trend Classifiers used to be released in 2004. Dr. Kuncheva has plucked from the wealthy panorama of contemporary classifier ensemble literature the themes, tools, and algorithms that may advisor the reader towards a deeper figuring out of the basics, layout, and functions of classifier ensemble methods.
Thoroughly up to date, with MATLAB® code and perform info units all through, Combining trend Classifiers includes:
- Coverage of Bayes determination conception and experimental comparability of classifiers
- Essential ensemble equipment reminiscent of Bagging, Random woodland, AdaBoost, Random subspace, Rotation wooded area, Random oracle, and blunder Correcting Output Code, between others
- Chapters on classifier choice, range, and ensemble characteristic selection
With company grounding within the basics of trend attractiveness, and that includes greater than one hundred forty illustrations, Combining trend Classifiers, moment Edition is a necessary reference for postgraduate scholars, researchers, and practitioners in computing and engineering.
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