Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Th… Mehr…
Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques. Books > Engineering eBook, Springer Shop<
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Inductive Inference for Large Scale Text Classification ab 128.49 € als pdf eBook: Kernel Approaches and Techniques. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Sprachwissenschaft… Mehr…
Inductive Inference for Large Scale Text Classification ab 128.49 € als pdf eBook: Kernel Approaches and Techniques. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Sprachwissenschaften, Medien > Bücher, Inductive Inference for Large Scale Text Classification - eBook als pdf von Catarina Silva/ Bernadete Ribeiro - Springer-Verlag GmbH - 9783642045332<
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This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, sc… Mehr…
This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, scale and distribute text classification tasks.; PDF; Reference & Languages > linguistics > Computational linguistics, Springer Berlin Heidelberg<
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Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Th… Mehr…
Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques. Books > Engineering eBook, Springer Shop<
Inductive Inference for Large Scale Text Classification ab 128.49 € als pdf eBook: Kernel Approaches and Techniques. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Sprachwissenschaft… Mehr…
Inductive Inference for Large Scale Text Classification ab 128.49 € als pdf eBook: Kernel Approaches and Techniques. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Sprachwissenschaften, Medien > Bücher, Inductive Inference for Large Scale Text Classification - eBook als pdf von Catarina Silva/ Bernadete Ribeiro - Springer-Verlag GmbH - 9783642045332<
This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, sc… Mehr…
This book explains and illustrates key methods in inductive inference in large scale text classification, especially kernel approaches. It covers a series of new techniques to enhance, scale and distribute text classification tasks.; PDF; Reference & Languages > linguistics > Computational linguistics, Springer Berlin Heidelberg<
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Inductive Inference for Large Scale Text Classification - Kernel Approaches and Techniques: ab 128.49 € Medien > Bücher > E-books, [PU: Springer, Berlin/Heidelberg/New York, NY]
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Buch in der Datenbank seit 2010-05-25T09:18:37+02:00 (Vienna) Detailseite zuletzt geändert am 2021-11-17T11:16:42+01:00 (Vienna) ISBN/EAN: 9783642045332
ISBN - alternative Schreibweisen: 978-3-642-04533-2 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: silva, ribeiro, srivastava Titel des Buches: scale
Daten vom Verlag:
Autor/in: Catarina Silva; Bernadete Ribeiro Titel: Studies in Computational Intelligence; Inductive Inference for Large Scale Text Classification - Kernel Approaches and Techniques Verlag: Springer; Springer Berlin 155 Seiten Erscheinungsjahr: 2009-11-24 Berlin; Heidelberg; DE Gedruckt / Hergestellt in Großbritannien. Sprache: Englisch 160,49 € (DE) 165,00 € (AT) 189,00 CHF (CH) Available XX, 155 p.
EA; E107; eBook; Nonbooks, PBS / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Kernel Approach; Text Classification; classification; computational intelligence; intelligence; kernel; C; Mathematical and Computational Engineering; Natural Language Processing (NLP); Computational Linguistics; Artificial Intelligence; Mathematical and Computational Engineering Applications; Natural Language Processing (NLP); Computational Linguistics; Artificial Intelligence; Engineering; Natürliche Sprachen und maschinelle Übersetzung; Computerlinguistik und Korpuslinguistik; Künstliche Intelligenz; BB
Fundamentals.- Background on Text Classification.- Kernel Machines for Text Classification.- Approaches and techniques.- Enhancing SVMs for Text Classification.- Scaling RVMs for Text Classification.- Distributing Text Classification in Grid Environments.- Framework for Text Classification.
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