Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Condizione: Very Good. xii, 395 pp., Hardcover, covers rubbed, else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Lingua: Inglese
Editore: Physica-Verlag Heidelberg 26.05.2000., 2000
ISBN 10: 3790812994 ISBN 13: 9783790812992
Da: NEPO UG, Rüsselsheim am Main, Germania
EUR 21,63
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Aggiungi al carrelloCondizione: Sehr gut. Auflage: 2000. 393 Seiten nice book ex Library Sprache: Englisch Gewicht in Gramm: 969 23,6 x 15,5 x 2,8 cm, Gebundene Ausgabe.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,32
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 180,25
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 164,30
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 191,92
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 225,12
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Physica-Verlag, Physica-Verlag HD, Physica Mai 2000, 2000
ISBN 10: 3790812994 ISBN 13: 9783790812992
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
Quantità: 2 disponibili
Aggiungi al carrelloBuch. 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. 396 pp. Englisch.
Da: moluna, Greven, Germania
EUR 136,16
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Aggiungi al carrelloCondizione: 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.
Da: preigu, Osnabrück, Germania
EUR 141,20
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Soft Computing in Information Retrieval | Techniques and Applications | Gabriella Pasi (u. a.) | Buch | xii | Englisch | 2000 | Physica | EAN 9783790812992 | 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 Print on Demand.
Lingua: Inglese
Editore: Physica-Verlag HD Mai 2000, 2000
ISBN 10: 3790812994 ISBN 13: 9783790812992
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. 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 412 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. 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.