Maurice Tutor

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  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

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    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 22 Nov 2017 My Price 4.00

ensemble learning algorithm

Consider an ensemble learning algorithm that uses simple majority voting among M learned hypotheses. Suppose that each hypothesis has error E and that the errors made by each hypothesis are independent of the others'. Calculate a formula for the error of the ensemble algorithm in terms of M and E, and evaluate it for the cases where M = 5, 10, and 20 and E = 0.1,0.2, and 0.4. If the independence assumption is removed, is it possible for the ensemble error to be worse than E?

 

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Maurice Tutor
(5)
Status NEW Posted 22 Nov 2017 10:11 PM My Price 4.00

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