Emerging Paradigms Machine Learning (21 results)

Language: English
Published by Springer 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Hardcover. Condition: Good. THERE ARE NO TARIFFS OR CUSTOMS DUTIES ON BOOKS. This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popul…ar area for research. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets.An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification, including an extremely well-written survey on Bayesian networks, sheds light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book. Hardback. Visible score mark to front and rear boards. Text is clean and tight.

Language: English
Published by Springer 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Language: English
Published by Springer 2014
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Softcover
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Language: English
Published by Springer 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
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More imagesLanguage: English
Published by Springer 2014
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Softcover
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Taschenbuch. Condition: Neu. Emerging Paradigms in Machine Learning | Sheela Ramanna (u. a.) | Taschenbuch | Smart Innovation, Systems and Technologies | xxii | Englisch | 2014 | Springer | EAN 9783642435744 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]sp…ringer[dot]com | Anbieter: preigu.

Language: English
Published by Springer-Verlag New York Inc 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Hardcover. Condition: Brand New. 2013 edition. 495 pages. 9.25x6.25x1.25 inches. In Stock.

Language: English
Published by Springer Berlin Heidelberg 2014
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and…popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.

Language: English
Published by Springer Berlin Heidelberg 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular… area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.

Language: English
Published by J.B. Metzler 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 520 | Sprache: Englisch | Produktart: Bücher | This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very…fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.

Language: English
Published by Springer 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Language: English
Published by Springer 2014
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Softcover
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Language: English
Published by Springer 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Language: English
Published by Springer Berlin Heidelberg Aug 2014 2014
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very…fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book. 520 pp. Englisch.

Language: English
Published by Springer Berlin Heidelberg Jul 2012 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascina…ting and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book. 520 pp. Englisch.

Language: English
Published by Springer 2014
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Softcover
- Print on Demand
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Language: English
Published by Springer Berlin Heidelberg 2014
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art of emerging paradigms in machine learning including some real world applicationsLatest research in machine learning and biologically-based techniques for the design and implementation of intelligent s…ystemsWritten by leadin.

Language: English
Published by Springer Berlin Heidelberg 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art of emerging paradigms in machine learning including some real world applicationsLatest research in machine learning and biologically-based techniques for the design and implementation of intelligent s…ystemsWritten by leadin.

Language: English
Published by Springer 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Condition: New. Print on Demand pp. 520 167 Illus.

Language: English
Published by Springer 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
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Language: English
Published by Springer, J.B. Metzler Jul 2012 2012
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating… and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 520 pp. Englisch.

Language: English
Published by Springer, J.B. Metzler Aug 2014 2014
Series: Smart Innovation, Systems and Technologies, Book 22 of 235. Book 22 of 235 - Smart Innovation, Systems and Technologies
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fasc…inating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 520 pp. Englisch.