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GENTLE INTRODUCTION TO SUPPORT VECTOR MACHINES IN BIOMEDICINE, A - VOLUME 1: THEORY AND METHODS
Language: English
Published by World Scientific Publishing Comp, 2011
ISBN 10: 9814324388 ISBN 13: 9789814324380
hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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A Gentle Introduction to Support Vector Machines in Biomedicine : Theory and Methods
Language: English
Published by World Scientific Publishing Co Pte Ltd, 2011
ISBN 10: 9814324388 ISBN 13: 9789814324380
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Gentle Introduction to Support Vector Machines in Biomedicine: Theory and Methods (Volume 1)
Language: English
Published by World Scientific Publishing, 2011
ISBN 10: 9814324388 ISBN 13: 9789814324380
Condition: Good. Volume 1. 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,700grams, ISBN:9789814324380.
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 45.35
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Condition: Like New. Text block firm and clean, binding unblemished, boards straight, without highlights or underlining. Without any discs, access codes or extra items. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
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Condition: New. pp. x + 431 1st Edition.
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Learning to Classify Text Using Support Vector Machines. Methods, Theory and Algorithms
Published by Kluwer Academic Publishers, 2001
ISBN 10: 079237679X ISBN 13: 9780792376798
£ 8.92 10% off£ 8.03
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Ships from Spain to U.S.A.Quantity: 1 available
Add to basketHardcover. Good condition. Dog-eared corners. Libro.
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Learning to Classify Text Using Support Vector Machines : Methods, Theory, and Algorithms
Book 158 of 260: The Springer International Series in Engineering and Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications (Industrial and Applied Mathematics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 116.47
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Support Vector Machines : Optimization Based Theory, Algorithms, and Extensions
Book 28 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2013
ISBN 10: 143985792X ISBN 13: 9781439857922
Condition: New.
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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions
Book 28 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Taylor & Francis Inc, 2013
ISBN 10: 143985792X ISBN 13: 9781439857922
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Support Vector Machines : Optimization Based Theory, Algorithms, and Extensions
Book 28 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2013
ISBN 10: 143985792X ISBN 13: 9781439857922
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 127.73
£ 15 shipping
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Add to basketCondition: New.
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Condition: New. pp. x + 431 Illus.
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications
Language: English
Published by Springer Nature Singapore, 2023
ISBN 10: 9811965528 ISBN 13: 9789811965524
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 320 | Sprache: Englisch | Produktart: Bücher | This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functionsżChebyshev, Legendre, Gegenbauer, and Jacobiżare reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations.On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all machine learning and scientific machine learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.
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Support Vector Machines : Optimization Based Theory, Algorithms, and Extensions
Book 28 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2013
ISBN 10: 143985792X ISBN 13: 9781439857922
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 151.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 319 | Sprache: Englisch | Produktart: Bücher | This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functionsżChebyshev, Legendre, Gegenbauer, and Jacobiżare reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations.On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all machine learning and scientific machine learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.
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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 28 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 143985792X ISBN 13: 9781439857922
Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Support Vector Machines : Optimization Based Theory, Algorithms, and Extensions
Book 28 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2013
ISBN 10: 143985792X ISBN 13: 9781439857922
Condition: As New. Unread book in perfect condition.
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Learning to Classify Text Using Support Vector Machines : Methods, Theory, and Algorithms
Book 158 of 260: The Springer International Series in Engineering and Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 158.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Hardcover. Condition: Brand New. 1st edition. 300 pages. 9.45x6.46x0.98 inches. In Stock.
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Taschenbuch. Condition: Neu. Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines | Theory, Algorithms and Applications | Jamal Amani Rad (u. a.) | Taschenbuch | xiv | Englisch | 2024 | Springer | EAN 9789811965555 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. Support Vector Machines: Theory and Applications | Lipo Wang | Taschenbuch | Studies in Fuzziness and Soft Computing | x | Englisch | 2010 | Springer | EAN 9783642063688 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functions-Chebyshev, Legendre, Gegenbauer, and Jacobi-are reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations.On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all machine learning and scientific machine learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functions-Chebyshev, Legendre, Gegenbauer, and Jacobi-are reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations.On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all machine learning and scientific machine learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.
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Support Vector Machines: Theory and Applications
Language: English
Published by Springer, Springer Vieweg, 2010
ISBN 10: 3642063683 ISBN 13: 9783642063688
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respective fields.
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Support Vector Machines: Theory and Applications
Language: English
Published by Springer, Springer Vieweg, 2005
ISBN 10: 3540243887 ISBN 13: 9783540243885
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respective fields.
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Hardcover. Condition: Brand New. 319 pages. 9.25x6.10x9.21 inches. In Stock.
