Isbn: 9783790824735 - soft computing in information retrieval: techniques and applications: 50 (8 risultati)

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    • Lingua: Inglese

      Editore: Physica, 2010

      3790824739 / 9783790824735

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    • Lingua: Inglese

      Editore: Physica, 2010

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      Taschenbuch. Condizione: Neu. Soft Computing in Information Retrieval | Techniques and Applications | Fabio Crestani (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | xii | Englisch | 2010 | Physica | EAN 9783790824735 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Physica, 2010

      3790824739 / 9783790824735

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      Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    • Lingua: Inglese

      Editore: Physica, 2010

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      Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    • Lingua: Inglese

      Editore: Physica Okt 2010, 2010

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of 'partially intrinsic' in the IR process and to make the systems adaptive, i.e. able to 'learn' the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems. 408 pp. Englisch.

    • Lingua: Inglese

      Editore: Physica-Verlag HD, 2010

      3790824739 / 9783790824735

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users information needs, expressed b.

    • Lingua: Inglese

      Editore: Physica Okt 2010, 2010

      3790824739 / 9783790824735

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of 'partially intrinsic' in the IR process and to make the systems adaptive, i.e. able to 'learn' the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch.

    • Lingua: Inglese

      Editore: Physica, 2010

      3790824739 / 9783790824735

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information. The aim of an IR system is to estimate the relevance of documents to users' information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR, which privileges efficiency at the expense of effectiveness. A promising direction to increase the effectiveness of IR is to model the concept of 'partially intrinsic' in the IR process and to make the systems adaptive, i.e. able to 'learn' the user's concept of relevance. To this aim, the application of soft computing techniques can be of help to obtain greater flexibility in IR systems.