[PDF.44lt] Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)

Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)

[PDF.pc21] Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)

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 | #231235 in Books |  imusti |  2014-01-10 | Original language:English | PDF # 1 |  9.00 x.94 x7.00l,1.86 | File type: PDF | 544 pages

 | Mit Press

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||1 of 1 people found the following review helpful.| everything about boosting|By Sergey Babkin|It's a quite comprehensive book, describing lots of different ways to look at the AdaBoost family of algorithms. For all I can tell, the authors have collected all the state-of-the-art knowledge about boosting at the time the book was written, from the publications developed both by them and by the other people. So if you want to learn| ||Robert Schapire and Yoav Freund made a huge impact in machine and statistical learning with their invention of boosting, which has survived the test of time. There have been lively discussions about alternative explanations of why it works so well, and the ju

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, g...

You easily download any file type for your gadget.Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)   |  Robert E. Schapire, Yoav Freund. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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