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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Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good+. First Edition. Tight crisp book with name to front endpaper and a dozen and a half pages with limited highlighting. In dust jacket that has been neatly covered in protective clear tape and taped to the boards. Several sections of page corners have been neatly clipped (about 1 cm) so the former owner could access certain sections more quickly. ; 1.57 x 8.5 x 6.46 Inches; 612 pages. Seller Inventory # 29058