Tata Institute of Fundamental Research

A Statistical View to Boosting

Student Seminar
Speaker: Tapan Shah
Organiser: Anantha Karthik R
Date: Friday, 16 Aug 2013, 16:00 to 17:30
Venue: D-405 (D-Block Seminar Room)

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Abstract:  In machine learning, AdaBoost has been an extremely popular boosting algorithm to improve the performance of ``weak learners". AdaBoost was initially proposed by Schapire and Freund from an algorithmic perspective. The statistical machine learners (who maintain that all machine learning algorithms are derived from a statistical framework) remained ┬áskeptical of AdaBoost until Freidman et.al gave a statistical view of boosting and proved that boosting is equivalent to fitting additive models.

We will study this generalized boosting models and obtain AdaBoost as a specialized version.