Performance Evaluation Schemes Mlir by Sujatha Pothula (3 results)

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  • Language: English

    Published by LAP Lambert Academic Publishing, 2012

    3659182788 / 9783659182785

    • Softcover

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    Taschenbuch. Condition: Neu. Performance Evaluation Schemes of MLIR Systems | Fine Grained Quantification Measures | Pothula Sujatha (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659182785 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2012

    3659182788 / 9783659182785

    • Softcover
    • Print on Demand

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    Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sujatha PothulaDr. Sujatha Pothula is working as Assistant Professor in the Department of Computer Science, Pondicherry University, India. She completed her Ph.D., M.Tech, and B.Tech in Computer Science and Engineering, Pondicherry U.…

  • Language: English

    Published by LAP Lambert Academic Publishing, 2012

    3659182788 / 9783659182785

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this book is to offer a set of application-independent fine grained quantification schemes, which will act as a generic model for evaluating the performance attributes of Multilingual Information Retrieval (MLIR) systems. This book describes the greater efforts that are taken to develop a set of Metrics under four different schemes for Evaluating the Performance of MLIR Systems. These proposed measurement schemes can play the decisive roles for developing qualitative designs to maintain the optimized performance in any MLIR system. The Experimental Results in this book are chosen such that, to assess the proposed metrics both empirically and statistically in order to validate their usefulness.…