Could somebody explain how exactly weights of samples are used?
For example for training sample x1=[a1,.., an]. How the x1 will change after applying the initial weight of 1/m? Is the x1 going to change to [a1/m,...,an/m]?
22 Jan 2014
AdaBoost: The meta machine learning algorithm formulated by Yoav Freund and Robert Schapire
Hi Dirk-Jan Kroon,
In file ADABOOST_tr.m, there is a line as follow:
% The weight of the turn-th weak classifier
The weight should be changed to
i.e. not base 10 logarithm but natural logarithm.
I get an OutOfMemory error, when Matlab is passing cumsum() function in
adaboost>WeightedThresholdClassifier (line 126)
while i have 8GB of RAM availble and Training set contains only 6,5 milions entries of double. Is it possible to replace the cumsum() function with sum() for example?