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.
"synopsis" may belong to another edition of this title.
£ 15.01 shipping from U.S.A. to United Kingdom
Destination, rates & speedsSeller: Wonder Book, Frederick, MD, U.S.A.
Condition: Very Good. Very Good condition. Good dust jacket. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Seller Inventory # P13C-02186
Quantity: 1 available
Seller: Bookmonger.Ltd, HILLSIDE, NJ, U.S.A.
Hardcover. Condition: Fine. Seller Inventory # mon0000429768
Quantity: 1 available