CSC2515 Fall 2011 Boosting with Perceptrons and Decision Stumps
Richard Abrich, Paul Bovbel · 2011
In this paper, we analyze the performance of four different boosting algorithms and two families of weak classifiers on three datasets. Using this data, we try to evaluate the parameters for the weak classifiers, as well as the advantages of the different types of boosting algorithms.