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Published by Leipzig Koehler & Amelang, 1968
Seller: Flügel & Sohn GmbH, Dresden, Germany
Book
Condition: Gut. Goldprägung auf vorderem Einbanddeckel und Rücken, Illustrationen von Werner Klemke, 365 Seiten Schutzumschlag minimal bestossen, minimal beschmutzt und minimal gebräunt, Vor- und Nachsatz leicht gebräunt Sprache: Deutsch Gewicht in Gramm: 495 13x20cm Leineneinband mit Schutzumschlag.
Published by Olten, Lizenzausg. mit Genehmigung des Walter-Vlgs., 1983
Seller: Occulte Buchhandlung "Inveha", Birstein, Germany
Olten, Lizenzausg. mit Genehmigung des Walter-Vlgs. 1983. 283 S. OLwd. mit OUmschl. Zeugnisse mystischer Welterfahrung. Sprache : de.
Published by Vs Verlag, 2008
ISBN 10: 3531158201ISBN 13: 9783531158204
Seller: Revaluation Books, Exeter, United Kingdom
Book
Paperback. Condition: Brand New. 2008 edition. 261 pages. German language. 8.27x5.75x0.55 inches. In Stock.
Published by Springer, 2011
ISBN 10: 3642209793ISBN 13: 9783642209796
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Hardcover. Condition: new.
Published by Springer, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Soft Cover. Condition: new.
Published by Springer Berlin Heidelberg Aug 2013, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field. 372 pp. Englisch.
Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642209793ISBN 13: 9783642209796
Seller: moluna, Greven, Germany
Book Print on Demand
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in Meta-learning in computational intelligence Presents new Developments and Trends in Computational Intelligence and Learning Written by leading experts in the fieldComputational Intelligence (CI) community has de.
Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in Meta-learning in computational intelligence Presents new Developments and Trends in Computational Intelligence and Learning Written by leading experts in the fieldComputational Intelligence (CI) community has de.
Published by Springer, 2011
ISBN 10: 3642209793ISBN 13: 9783642209796
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Springer, 2011
ISBN 10: 3642209793ISBN 13: 9783642209796
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.
Published by Springer Berlin Heidelberg Jun 2011, 2011
ISBN 10: 3642209793ISBN 13: 9783642209796
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field. 372 pp. Englisch.
Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642209793ISBN 13: 9783642209796
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.
Published by Springer, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: Books Puddle, New York, NY, U.S.A.
Book
Condition: New. pp. 372.
Published by Springer, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: Revaluation Books, Exeter, United Kingdom
Book
Paperback. Condition: Brand New. 2011 edition. 372 pages. 9.25x6.10x0.88 inches. In Stock.
Published by Springer, 2013
ISBN 10: 3642268587ISBN 13: 9783642268588
Seller: Majestic Books, Hounslow, United Kingdom
Book Print on Demand
Condition: New. Print on Demand pp. 372 1237 Illus. (76 Col.).