[PDF.38fe] Feature Selection in Data Mining - Approaches Based on Information Theory

Feature Selection in Data Mining - Approaches Based on Information Theory

[PDF.kt86] Feature Selection in Data Mining - Approaches Based on Information Theory

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 | #4261170 in Books |  2007-09-10 | Original language:English | PDF # 1 |  9.61 x.22 x6.69l,.39 | File type: PDF | 104 pages

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||About the Author|Is an Applied Science Researcher in Microsoft, solving research problems that impact business performance and building advanced prototypes. He received a Ph.D. from the University of Pennsylvania.

In many predictive modeling tasks, one has a fixed set of observations from which a vast, or even infinite, set of potentially predictive features can be computed. Of these features, often only a small number are expected to be useful in a predictive model. Models which use the entire set of features will almost certainly overfit on future data sets. The book presents streamwise feature selection which interleaves the process of generating new features with that of featu...

You can specify the type of files you want, for your device.Feature Selection in Data Mining - Approaches Based on Information Theory   |  Jing Zhou. 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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