Description
Ensemble learning methods like bagging, boosting, adaptive boosting, stacking have traditionally shown promising results in improving the predictive accuracy in classification. These techniques have recently been widely used in various domains and applications owing to the improvements in computational efficiency and distributed computing advances.
Download count: 0
Details
Contributors
- Bahl, Neeraj Dharampal (Author)
- Bansal, Ajay (Thesis advisor)
- Amresh, Ashish (Committee member)
- Bansal, Srividya (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2017
Subjects
Resource Type
Collections this item is in
Note
- Masters Thesis Computer Science 2017