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Innovations in Machine Learning Theory and Applications - Holmes, Dawn E. (Herausgeber)
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Holmes, Dawn E. (Herausgeber):

Innovations in Machine Learning Theory and Applications - Paperback

2010, ISBN: 3642067883

Hardcover

Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Künstliche Intelligenz, Case-basedMachineradigms; ComputationalAlgorithmsinMachineExplanation-basedLearningParadigms;… More...

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Innovations in Machine Learning Theory and Applications - Holmes, Dawn E. (Herausgeber)
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Holmes, Dawn E. (Herausgeber):

Innovations in Machine Learning Theory and Applications - Paperback

2010, ISBN: 3642067883

Hardcover

Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Künstliche Intelligenz, Case-basedMachineradigms; ComputationalAlgorithmsinMachineExplanation-basedLearningParadigms;… More...

Shipping costs:Versandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
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Innovations in Machine Learning Theory and Applications - Holmes, Dawn E. (Herausgeber)
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Holmes, Dawn E. (Herausgeber):
Innovations in Machine Learning Theory and Applications - Paperback

2010

ISBN: 3642067883

Hardcover

Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Künstliche Intelligenz, Case-basedMachineradigms; ComputationalAlgorithmsinMachineExplanation-basedLearningParadigms;… More...

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Innovations in Machine Learning
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Innovations in Machine Learning - Paperback

2006, ISBN: 3642067883

Hardcover

Innovations in Machine Learning ab 149.99 € als Taschenbuch: Theory and Applications. Softcover reprint of hardcover 1st ed. 2006. Aus dem Bereich: Bücher, Wissenschaft, Technik, Medien >… More...

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Innovations in Machine Learning - Dawn E. Holmes
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Dawn E. Holmes:
Innovations in Machine Learning - Paperback

2010, ISBN: 9783642067884

Theory and Applications, Buch, Softcover, Softcover reprint of hardcover 1st ed. 2006, [PU: Springer Berlin], Springer Berlin, 2010

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Details of the book
Innovations in Machine Learning

Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained.Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.

Details of the book - Innovations in Machine Learning


EAN (ISBN-13): 9783642067884
ISBN (ISBN-10): 3642067883
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer Berlin
292 Pages
Weight: 0,445 kg
Language: eng/Englisch

Book in our database since 2011-03-04T09:02:58-05:00 (New York)
Detail page last modified on 2023-06-20T05:48:24-04:00 (New York)
ISBN/EAN: 9783642067884

ISBN - alternate spelling:
3-642-06788-3, 978-3-642-06788-4
Alternate spelling and related search-keywords:
Book author: holmes, holme
Book title: machine learning, the soft machine, theory and applications


Information from Publisher

Author: Dawn E. Holmes
Title: Studies in Fuzziness and Soft Computing; Innovations in Machine Learning - Theory and Applications
Publisher: Springer; Springer Berlin
276 Pages
Publishing year: 2010-11-23
Berlin; Heidelberg; DE
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XVI, 276 p.

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Case-based Machine Learning Paradigms; Computational Algorithms in Machine Learning; Explanation-based Learning Paradigms; algorithm; algorithms; artificial intelligence; genetic algorithms; intelligence; kernel; learning; logic programming; machine learning; neural networks; programming; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BB

A Bayesian Approach to Causal Discovery.- A Tutorial on Learning Causal Influence.- Learning Based Programming.- N-1 Experiments Suffice to Determine the Causal Relations Among N Variables.- Support Vector Inductive Logic Programming.- Neural Probabilistic Language Models.- Computational Grammatical Inference.- On Kernel Target Alignment.- The Structure of Version Space.
Latest research in machine learning

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