Ludmila kuncheva (26 Ergebnisse)

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover/Pappeinband. Zustand: Wie neu. X, 314 pages with ill.; 24 cm. Like new. Shrink wrapped. / Wie neu. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 700.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Hardcover. Zustand: Good. A unified, coherent, and expansive treatment of current classifier ensemble methodsMail sorting, medical test reading, military target recognition, signature verification, meteorological forecast, DNA matching, fingerprint recognition. These are just a few of the areas requiring reliable, precise pattern recognition. Although in the past, pattern recognition has focused on designing single classifiers, recently the focus has been on combining several classifiers and getting a consensus of results for greater accuracy. This interest in combining classifiers has grown astronomically in recent years, evolving into a rich and dynamic, if loosely structured, discipline. Combining Pattern Classifiers: Methods and Algorithms represents the first attempt to provide a comprehensive survey of this fastgrowing field. In a clear and straightforward manner, the author provides a muchneeded road map through a multifaceted and often controversial subject while effectively organizing and systematizing the current state of the art. Covering a broad range of methodologies, algorithms, and theories, the text addresses such questions as: Why should we combine classifiers? What are the current approaches for building classifier ensembles? What fusion methods can we use? How do we measure diversity in a classifier ensemble and is diversity really a key factor to its success? Replete with case studies and realworld applications, this groundbreaking text will be of interest to academics and researchers in the field seeking both new classification tools and new uses for the old ones. Copyright © John Wiley.…

X, 314 S. Einband berieben. Bitte beachten Sie, dass der Versand erst ab 5. Juli 2026 erfolgen wird. Sprache: Englisch Gewicht in Gramm: 550 24 x 17 cm, Pappband ohne Schutzumschlag.

Paperback. Zustand: Brand New. 134 pages. 8.27x5.83x0.32 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 230 pages. 8.26x5.83x0.54 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book contains 11 chapters, each offering a short introduction into a MATLAB topic followed by a set of exercises. In addition to the basic MATLAB philosophy and syntax, the topics in this book include: logical expressions and loops, functions, plotting, data and simple statistics, strings, images, animation, graphical user interface (GUI), and sound. Some of the problems assume knowledge of elementary algebra and geometry or familiarity with specific algorithms such as bubble sorting, Monte Carlo and evolutionary algorithms. However, we kept the exposition simple and self-contained, so that the book can be useful for a reader with minimal technical or mathematical background. The problems are of different difficulty. Some can be used in class tests or exams, while others require more time and effort, and are more suitable for coursework. Solutions are provided for the examples in each chapter and for the even-numbered exercises. …

Zustand: New. pp. 384.

Zustand: New. In English.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780471210788. …

Zustand: New. Ludmila Kuncheva is a Professor of Computer Science at Bangor University, United Kingdom. She has received two IEEE Best Paper awards. In 2012, Dr. Kuncheva was awarded a Fellowship to the International Association for Pattern Recognition (IAPR) for her con.

Hardcover. Zustand: Brand New. 2nd edition. 350 pages. 9.00x6.00x1.00 inches. In Stock.

Zustand: New. Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers. Num Pages: 384 pages, illustrations. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 239 x 163 x 31. Weight in Grams: 762. . 2014. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Fuzzy Classifier Design | Ludmila I. Kuncheva | Taschenbuch | x | Englisch | 2010 | Physica | EAN 9783790824728 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Kartoniert / Broschiert. Zustand: New.

Zustand: New.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 315 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 315 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Hardcover. Zustand: gut. 2000. Fuzzy Classifier Design In deutscher Sprache. pages.