Edité par Springer International Publishing, 2020
ISBN 10 : 3030293513 ISBN 13 : 9783030293512
Langue: anglais
Vendeur : Buchpark, Trebbin, Allemagne
EUR 93,64
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Seiten: 248 | Sprache: Englisch | Produktart: Bücher.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 128,32
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Ajouter au panierEtat : New. In.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 128,32
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Ajouter au panierEtat : New. In.
Edité par Springer International Publishing, 2020
ISBN 10 : 3030293513 ISBN 13 : 9783030293512
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 123,04
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the 'curse of dimensionality', their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task.Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks;Describe implementationand evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality;Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. 'This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge.'M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas'In science the difficulty is not to have ideas, but it is to make them work'From Carlo Rovelli.
Edité par Springer International Publishing, Springer International Publishing Nov 2020, 2020
ISBN 10 : 3030293513 ISBN 13 : 9783030293512
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 123,04
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the ¿curse of dimensionality¿, their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the ¿eld and discusses the state of the art concerning sampling techniques for supervised and unsupervised task.Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks;Describe implementationand evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality;Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data.'This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge.'M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central ArkansasSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch.
Edité par Springer, Berlin, Springer International Publishing, Springer, 2019
ISBN 10 : 3030293483 ISBN 13 : 9783030293482
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 127,42
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the 'curse of dimensionality', their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task.Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks;Describe implementationand evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality;Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. 'This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge.'M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas'In science the difficulty is not to have ideas, but it is to make them work'From Carlo Rovelli.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 149,04
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Ajouter au panierEtat : New. pp. XIII, 232 40 illus., 30 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 149,70
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Ajouter au panierEtat : New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 119,63
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Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 119,96
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Ajouter au panierEtat : New.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 179,01
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Ajouter au panierHardcover. Etat : Brand New. 248 pages. 9.25x6.10x0.75 inches. In Stock.
Edité par Springer International Publishing, 2020
ISBN 10 : 3030293513 ISBN 13 : 9783030293512
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 105,45
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive description of sampling techniques for unsupervised and supervised tasksDescribe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionalityAddresses t.
Edité par Springer International Publishing, 2019
ISBN 10 : 3030293483 ISBN 13 : 9783030293482
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 106,28
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive description of sampling techniques for unsupervised and supervised tasksDescribe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionalityAddresses t.
Edité par Springer International Publishing Nov 2020, 2020
ISBN 10 : 3030293513 ISBN 13 : 9783030293512
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 123,04
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the 'curse of dimensionality', their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task.Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks;Describe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality;Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. 'This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge.'M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas'In science the difficulty is not to have ideas, but it is to make them work'From Carlo Rovelli 248 pp. Englisch.
Edité par Berlin Springer International Publishing Springer Nov 2019, 2019
ISBN 10 : 3030293483 ISBN 13 : 9783030293482
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 123,04
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the 'curse of dimensionality', their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task.Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks;Describe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality;Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. 'This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge.'M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas'In science the difficulty is not to have ideas, but it is to make them work'From Carlo Rovelli 232 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 156,86
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Ajouter au panierEtat : New. Print on Demand pp. XIII, 232 40 illus., 30 illus. in color.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 157,75
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Ajouter au panierEtat : New. Print on Demand.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 162,28
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. XIII, 232 40 illus., 30 illus. in color.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 163,19
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.