(Read ebook) Feature Selection for High-Dimensional Data (Artificial Intelligence: Foundations, Theory, and Algorithms)






 | #4467347 in Books |  2015-10-06 | Original language:English | PDF # 1 |  9.21 x.44 x6.14l,.90 | File Name: 3319218573 | 147 pages


||0 of 0 people found the following review helpful.| It needs a major revision before it becomes useful.|By Customer|For a highly technical topic as such, this book is written very generically; too many words and not enough technical details. This book needs to have some ground level examples of how the mechanics of feature selection works to reduce data dimensionality. It needs a major revision before it becomes useful.|From the Back Cover||This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional d

This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.

The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms.

They then addr...


[PDF.ku45] Feature Selection for High-Dimensional Data (Artificial Intelligence: Foundations, Theory, and Algorithms)
Rating: 4.86 (576 Votes)

Feature Selection for High-Dimensional  Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos pdf
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You can specify the type of files you want, for your gadget.Feature Selection for High-Dimensional Data (Artificial Intelligence: Foundations, Theory, and Algorithms)   |  Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos. 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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