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Pattern Recognition: From Classical to Modern Approaches

By: Contributor(s): Material type: TextTextLanguage: English Publication details: India : World Scientific Pub Co Inc, 2020.Edition: 1st edDescription: xxii, 612 p. : ill. ; 24 cmISBN:
  • 9780000988966
  • 9789810246846
Uniform titles:
  • Pattern Recognition: From Classical to Modern Approaches
Subject(s): DDC classification:
  • 23 006.4 PAL
Summary: This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource.
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Item type Current library Collection Call number Status Date due Barcode
Text Books Text Books CUTN Central Library Generalia Non-fiction 006.4 PAL (Browse shelf(Opens below)) Available 47786

This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource.

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