Lab meeitng 13 Oct., 2006 (Casey): Boosting with Prior Knowledge for Call Classification

Title: Boosting with Prior Knowledge for Call Classification (IEEE Transactions on Speech and Audio Processing 2005)
Authors: Robert E. Schapire, Marie Rochery, Mazin Rahim and Narendra Gupta
Abstract:
The use of boosting for call classification in spoken language
understanding is described in this paper. An extension to the
AdaBoost algorithm is presented that permits the incorporation
of prior knowledge of the application as a means of compensating
for the large dependence on training data. We give a convergence
result for the algorithm, and we describe experiments on
four datasets showing that prior knowledge can substantially improve
classification performance.

[Paper Download]

I will also introduce discreteAdaboost, realAdaboost, floatAdaboost etc.