Multiple Classifier Systems Analysis by Bala Manju (6 results)
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Multiple Classifier Systems Analysis and Design | Hybrid Multi-class SVM Classifiers | Manju Bala (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848411276 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[…dot]de | Anbieter: preigu.
- Softcover
Seller: Mispah books, Redhill, United KingdomMispah books
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG 2012
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 128 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
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Seller: moluna, Greven, Germanymoluna
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bala ManjuDr. Manju Bala, born in Rohtak (1979), is an Assistant Professor at I.P. College for Women, University of Delhi. She has authored numerous publications in the area of…pattern recognition & computer graphics. She has earned .
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG 2012
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 128.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes the need to develop classifiers for multi-class problems which can provide better accuracy. SVMs deliver state-of-the-art performance in real-world multi-class classification applications such as text categorization,…hand-written character recognition, image classification, biosequences analysis and intrusion detection. Their first beginning in the early 1990s lead to a recent explosion of applications and deepening theoretical analysis, that has now recognized Support Vector Machines as one of the standard tools for machine learning and data mining. The main goal of this book is to develop SVM classifiers for multi-class problems which can provide better accuracy. Students will find the book both stimulating and accessible, while researchers will be guided smoothly through the material required for a good grasp of the theory and application of these classifiers. The concepts are introduced gradually in accessible and self-contained stages, though in each stage the presentation is meticulous and thorough. Pointers to relevant literature ensure that it forms an ideal starting point for further study.
