Emerging paradigms machine learning (8 Ergebnisse)

Sprache: Englisch
Verlag: Springer, 2012
Serie: Buch 22 von 235 - Smart Innovation, Systems and Technologies
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Hardcover. Zustand: Good. 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. 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 cha.

Sprache: Englisch
Verlag: Springer, 2012
Serie: Buch 22 von 235 - Smart Innovation, Systems and Technologies
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Sprache: Englisch
Verlag: Springer, 2014
Serie: Buch 22 von 235 - Smart Innovation, Systems and Technologies
- Softcover
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Weitere BilderSprache: Englisch
Verlag: Springer, 2014
Serie: Buch 22 von 235 - Smart Innovation, Systems and Technologies
- Softcover
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Taschenbuch. Zustand: 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]spri…nger[dot]com | Anbieter: preigu.

Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2012
Serie: Buch 22 von 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Hardcover. Zustand: Brand New. 2013 edition. 495 pages. 9.25x6.25x1.25 inches. In Stock.

Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2014
Serie: Buch 22 von 235 - Smart Innovation, Systems and Technologies
- Softcover
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Taschenbuch. Zustand: 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 po…pular 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.

Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2012
Serie: Buch 22 von 235 - Smart Innovation, Systems and Technologies
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 64,70 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: 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 a…rea 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.

Sprache: Englisch
Verlag: J.B. Metzler, 2012
Serie: Buch 22 von 235 - Smart Innovation, Systems and Technologies
- Hardcover
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Zustand: 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 fa…scinating 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.