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  1. Grammatical inference
    learning automata and grammars
    Autor*in: De la Higuera, Colin
    Erschienen: 2010
    Verlag:  Cambridge University Press, Cambridge

    The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics,... mehr

    Standort:
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Link zum Verbundkatalog:
    Gemeinsamer Bibliotheksverbund (GBV)

    Standort:
    Brandenburgische Technische Universität Cottbus - Senftenberg, Universitätsbibliothek
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Link zum Verbundkatalog:
    Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV)

     

    The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques and results, suitable for researchers working in these various areas. In Part I, the objects of use for grammatical inference are studied in detail: strings and their topology, automata and grammars, whether probabilistic or not. Part II carefully explores the main questions in the field: What does learning mean? How can we associate complexity theory with learning? In Part III the author describes a number of techniques and algorithms that allow us to learn from text, from an informant, or through interaction with the environment. These concern automata, grammars, rewriting systems, pattern languages or transducers

     
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    Volltext (URL des Erstveröffentlichers)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781139194655; 9780521763165
    Weitere Identifier:
    RVK Klassifikation: ES 965 ; ST 304
    Schlagworte: Formal languages; Logic, Symbolic and mathematical; Formale Grammatik; Inferenz <Künstliche Intelligenz>; Maschinelles Lernen
    Umfang: 1 online resource (xiv, 417 pages)
    Bemerkung(en):

    Title from publisher's bibliographic system (viewed on 01 Feb 2016)