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| Name | 17. Learning: Boosting |
| Video Uploader | Video From MIT OpenCourseWare |
| Upload Date | This Video Uploaded At 10-01-2014 19:38:12 |
| Video Discription | MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston Can multiple weak classifiers be used to make a strong one? We examine the boosting algorithm, which adjusts the weight of each classifier, and work through the math. We end with how boosting doesn't seem to overfit, and mention some applications. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu [UHBmv7qCey4] |
| Category | Education |
| Tags | machine learning | boosting | strong classifier | weak classifier | error rate | training | weights | distribution | decision tree | stump | binary classification |
