How to build a stronger classifier through iterative boosting
In short: Learn the mechanics of boosting using this MIT OpenCourseWare mega-recitation. This session demonstrates how to sequentially adjust weights across multiple rounds to derive a final, powerful classifier.
Based on a problem from the Fall 2009 MIT 6.034 Artificial Intelligence course, instructor Mark Seifter walks through the process of selecting specific classifiers and performing three distinct rounds of boosting. The video explains how to adjust weights in each iteration to construct the final expression for the resulting classifier.
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Sources
- Summary by Intellect · source: Mega-R6. Boosting
- Also: Mega-Recitation 6: Boosting | MIT Learn
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