School of Technology and Computer Science Seminars
A Statistical View to Boosting
by Mr. Tapan Shah (School of Technology and Computer Science, TIFR)
Friday, August 16, 2013
from
to
(Asia/Kolkata)
at Colaba Campus ( D-405 (D-Block Seminar Room) )
at Colaba Campus ( D-405 (D-Block Seminar Room) )
Description |
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 skeptical 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. |