Search preferences
Direkt zu den wichtigsten Suchergebnissen

Suchfilter

Produktart

  • Alle Product Types 
  • Bücher (3)
  • Magazine & Zeitschriften (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Comics (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Noten (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Kunst, Grafik & Poster (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Fotografien (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Karten (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Manuskripte & Papierantiquitäten (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)

Zustand

  • Alle 
  • Neu (3)
  • Antiquarisch (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)

Einband

Weitere Eigenschaften

  • Erstausgabe (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Signiert (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Schutzumschlag (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Angebotsfoto (2)

Sprache (1)

Preis

  • Beliebiger Preis 
  • Weniger als EUR 20 (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • EUR 20 bis EUR 45 (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Mehr als EUR 45 
Benutzerdefinierte Preisspanne (EUR)

Land des Verkäufers

  • Silviu Paun

    Verlag: Springer International Publishing, Springer Nature Switzerland Jan 2022, 2022

    ISBN 10: 3031037537 ISBN 13: 9783031037535

    Sprache: Englisch

    Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

    Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    Kostenlos für den Versand innerhalb von/der Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: 2 verfügbar

    In den Warenkorb

    Taschenbuch. Zustand: Neu. Neuware -Labelling data is one of the most fundamental activities in science, and has underpinned practice, particularly in medicine, for decades, as well as research in corpus linguistics since at least the development of the Brown corpus. With the shift towards Machine Learning in Artificial Intelligence (AI), the creation of datasets to be used for training and evaluating AI systems, also known in AI as corpora, has become a central activity in the field as well. Early AI datasets were created on an ad-hoc basis to tackle specific problems. As larger and more reusable datasets were created, requiring greater investment, the need for a more systematic approach to dataset creation arose to ensure increased quality. A range of statistical methods were adopted, often but not exclusively from the medical sciences, to ensure that the labels used were not subjective, or to choose among different labels provided by the coders. A wide variety of such methods is now in regular use. This book is meantto provide a survey of the most widely used among these statistical methods supporting annotation practice. As far as the authors know, this is the first book attempting to cover the two families of methods in wider use. The first family of methods is concerned with the development of labelling schemes and, in particular, ensuring that such schemes are such that sufficient agreement can be observed among the coders. The second family includes methods developed to analyze the output of coders once the scheme has been agreed upon, particularly although not exclusively to identify the most likely label for an item among those provided by the coders. The focus of this book is primarily on Natural Language Processing, the area of AI devoted to the development of models of language interpretation and production, but many if not most of the methods discussed here are also applicable to other areas of AI, or indeed, to other areas of Data Science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.

  • Silviu Paun

    Verlag: Springer International Publishing, Springer International Publishing, 2022

    ISBN 10: 3031037537 ISBN 13: 9783031037535

    Sprache: Englisch

    Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

    Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    Kostenlos für den Versand innerhalb von/der Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: 2 verfügbar

    In den Warenkorb

    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Labelling data is one of the most fundamental activities in science, and has underpinned practice, particularly in medicine, for decades, as well as research in corpus linguistics since at least the development of the Brown corpus. With the shift towards Machine Learning in Artificial Intelligence (AI), the creation of datasets to be used for training and evaluating AI systems, also known in AI as corpora, has become a central activity in the field as well. Early AI datasets were created on an ad-hoc basis to tackle specific problems. As larger and more reusable datasets were created, requiring greater investment, the need for a more systematic approach to dataset creation arose to ensure increased quality. A range of statistical methods were adopted, often but not exclusively from the medical sciences, to ensure that the labels used were not subjective, or to choose among different labels provided by the coders. A wide variety of such methods is now in regular use. This book is meantto provide a survey of the most widely used among these statistical methods supporting annotation practice. As far as the authors know, this is the first book attempting to cover the two families of methods in wider use. The first family of methods is concerned with the development of labelling schemes and, in particular, ensuring that such schemes are such that sufficient agreement can be observed among the coders. The second family includes methods developed to analyze the output of coders once the scheme has been agreed upon, particularly although not exclusively to identify the most likely label for an item among those provided by the coders. The focus of this book is primarily on Natural Language Processing, the area of AI devoted to the development of models of language interpretation and production, but many if not most of the methods discussed here are also applicable to other areas of AI, or indeed, to other areas of Data Science.

  • Paun, Silviu; Artstein, Ron; Poesio, Massimo

    Verlag: Springer, 2022

    ISBN 10: 3031037537 ISBN 13: 9783031037535

    Sprache: Englisch

    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich

    Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    EUR 5,82 für den Versand von Vereinigtes Königreich nach Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: Mehr als 20 verfügbar

    In den Warenkorb

    Zustand: New. In English.