Norbert Jankowski (27 results)
Language: German
Published by Olten, Lizenzausg. mit Genehmigung des Walter-Vlgs., 1983
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Add to basketOlten, Lizenzausg. mit Genehmigung des Walter-Vlgs. 1983. 283 S. OLwd. mit OUmschl. Zeugnisse mystischer Welterfahrung. Sprache : de.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | 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 requi…re 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.
Meta-learning in Computational Intelligence
Jankowski, Norbert (EDT); Duch, Wlodzislaw (EDT); Grabczewski, Krzysztof (EDT)
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Meta-learning in Computational Intelligence
Jankowski, Norbert (EDT); Duch, Wlodzislaw (EDT); Grabczewski, Krzysztof (EDT)
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Meta-learning in Computational Intelligence
Jankowski, Norbert (EDT); Duch, Wlodzislaw (EDT); Grabczewski, Krzysztof (EDT)
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Taschenbuch. Condition: Neu. Meta-Learning in Computational Intelligence | Norbert Jankowski (u. a.) | Taschenbuch | Studies in Computational Intelligence | ix | Englisch | 2013 | Springer | EAN 9783642268588 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]s…pringer[dot]com | Anbieter: preigu.
Meta-learning in Computational Intelligence
Jankowski, Norbert (EDT); Duch, Wlodzislaw (EDT); Grabczewski, Krzysztof (EDT)
- Hardcover
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Condition: New. pp. 372.
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2013
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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 learni…ng 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.
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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 tech…niques, 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.
Meta-Learning in Computational Intelligence (Studies in Computational Intelligence)
Jankowski, Norbert (Editor) / Duch, Wlodzislaw (Editor) / Grabczewski, Krzysztof (Editor)
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Paperback. Condition: Brand New. 2011 edition. 372 pages. 9.25x6.10x0.88 inches. In Stock.
Meta-learning in Computational Intelligence
Jankowski, Norbert (Editor)/ Duch, Wbodzisbaw (Editor)/ Grabczewski, Krzysztof (Editor)
- Hardcover
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Hardcover. Condition: Brand New. 372 pages. 9.00x6.00x1.00 inches. In Stock.
Globale Akteure Der Entwicklung: Die Neuen Szenarien
Hrsg. V. Hans N. Jankowski U. Theodor Leuenberger; Janowski, Hans N.; Leuenberger, Theodor
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Paperback. Condition: Brand New. 2008 edition. 261 pages. German language. 8.27x5.75x0.55 inches. In Stock.
More imagesPublished by Berlin,, 2017
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Add to basketCondition: Gut. 4°. 240, 240 Seiten. Orig.-Leinwand im OU. Seltene Privatdokumentation, nicht im KVK. - Reich illustrierte Reise einer 11-köpfigen Gruppenreise (Personen aus Kunst, Kultur und Architektur) nach Persien. Jeder der Mitreisenden erzählt von den Erlebnissen eines bestimmten Tages mit entsprechendem Bildmaterial. Die…Mitglieder der Reise waren Norbert Bisky, M. Esser, St. Koal, A. Wätjen, A. Cornelsen, S. Kluckow, A. Schmitz, P. Kahlfeldt, T. Rantur, C. Baumhöver und M. Adli. - Aus der aufgelösten Architektursammlung P. u. P. Kahlfeldt Berlin. Gä-II-1-53 Bei Bestellungen auf Rechnung bleibt Vorkasse vorbehalten. Bestellungen erfolgen ohne Gewähr und gelten erst nach Bestätigung der Verfügbarkeit. Wir bieten günstigere Versandvariante für Bücher bis 1000 gr. Bitte Anfragen. Payment in advance is reserved for orders on account. Orders are made without guarantee and are only valid after availability has been confirmed. The shipping costs to non-EU countries may vary depending on the weight. We also offer cheaper shipping options for books up to 1000g. Sprache: Deutsch Gewicht in Gramm: 2000.
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Condition: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Condition: new. Questo è un articolo print on demand.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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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 req…uire 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.
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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) com…munity has de.
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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 Intelligenc…e (CI) community has de.
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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 de…ep 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.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 372 pp. Englisch.
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 l…earning 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 372 pp. Englisch.
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Condition: New. Print on Demand pp. 372 1237 Illus. (76 Col.).
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 372.
