Mercier laurent eunikka (24 risultati)
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hardcover. Condizione: Sehr gut. 278 Seiten; 9780387876849.2 Gewicht in Gramm: 1.
Intelligent Information Processing IV
Shi, Zhongzhi (EDT); Mercier-Laurent, E. (EDT); Leake, D. (EDT)
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Intelligent Information Processing IV
Shi, Zhongzhi (EDT); Mercier-Laurent, E. (EDT); Leake, D. (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Intelligent Information Processing IV
Shi, Zhongzhi (EDT); Mercier-Laurent, E. (EDT); Leake, D. (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Intelligent Information Processing IV
Shi, Zhongzhi (EDT); Mercier-Laurent, E. (EDT); Leake, D. (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 280.
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Hardback. Condizione: New. New copy - Usually dispatched within 7-11 working days.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 267 pages. 9.25x6.25x1.00 inches. In Stock.
Altre immagini- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Intelligent Information Processing IV | 5th IFIP International Conference on Intelligent Information Processing, October 19-22, 2008, Beijing, China | Eunikka Mercier-Laurent (u. a.) | Taschenbuch | IFIP Advances in Information and Communication Technology | xi | Englisch | 2010 | Springer | EAN 978…1441946867 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 112,77
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing 'knowledge pieces' as rather universal objects that should fit to multi-purpose a- ing systems. Acco…rding to great number of information system's tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 114,36
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing 'knowledge pieces' as rather universal objects that should fit to multi-purpose a- ing systems. According t…o great number of information system's tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. Like New. book.
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 179,95
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Condizione: gut. 2008. Intelligent Information Processing IV: 5th IFIP International Conference on Intelligent Information Processing, October 19-22, 2008, Beijing, China . and Communication Technology, 288, Band 288) In englischer Sprache. pages.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,99
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing 'knowledge pieces' as rather universal objects that should fit to multi-purpose a- ing syst…ems. According to great number of information system's tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24. 267 pp. Englisch.
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,99
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing 'knowledge pieces' as rather universal objects that should fit to multi-purpose a- i…ng systems. According to great number of information system's tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24. 280 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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EUR 92,27
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The papers in this volume were peer-reviewed and carefully selectedMuch information in this series is published in advance of journal publicationThe contributors in this volume are world-renowned experts in their fie…ldKnowledge exis.
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- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 93,00
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The papers in this volume were peer-reviewed and carefully selectedMuch information in this series is published in advance of journal publicationThe contributors in this volume are world-renowned experts in… their fieldKnowledge exis.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 280 24 Illus.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 280.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 106,99
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing ¿knowledge pieces¿ as rather universal objects that should fit to multi-purpose a- ing s…ystems. According to great number of information system¿s tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.
