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Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)

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 | #6010015 in Books |  Springer |  2006-09-15 | Original language:English | PDF # 1 |  9.21 x.75 x6.14l,1.29 | File type: PDF | 300 pages

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||From the Back Cover||Machines capable of automatic pattern recognition have many fascinating uses in science and engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training exam

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.

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