Faster learning via optimised Adaboost

Adaboost has been found by many researchers to be an extremely successful classification algorithm. However, it is often stated that Adaboost takes a significant amount of time to learn a good classification. This paper aims to show that the Adaboost algorithm is not the cause of the slow learning. By altering how Adaboost is used, a significant increase in learning speed, over 14 times faster, can be achieved at the cost of a small loss in classification accuracy.