Learning to classify text using support vector machines: methods, theory and algorithms
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Boston [u.a.]
Kluwer Academic Publishers
2004
|
Ausgabe: | 2. print. |
Schriftenreihe: | Kluwer international series in engineering and computer science
|
Schlagworte: | |
Online-Zugang: | Table of contents |
Beschreibung: | Originally presented as the author's thesis (Universität Dortmund) under the title: "The maximum-margin approach to learning text classifiers--methods, theory, and algorithms," 2001. - Includes bibliographical references (p. [181]-196) and index |
Beschreibung: | XVI, 205 S. |
ISBN: | 079237679X |
Internformat
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245 | 1 | 0 | |a Learning to classify text using support vector machines |b methods, theory and algorithms |c by Thorsten Joachims |
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264 | 1 | |a Boston [u.a.] |b Kluwer Academic Publishers |c 2004 | |
300 | |a XVI, 205 S. | ||
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502 | |a Zugl.: Dortmund, Univ., Diss., 2001 | ||
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Datensatz im Suchindex
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edition | 2. print. |
format | Thesis Book |
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spelling | Joachims, Thorsten Verfasser aut Learning to classify text using support vector machines methods, theory and algorithms by Thorsten Joachims 2. print. Boston [u.a.] Kluwer Academic Publishers 2004 XVI, 205 S. txt rdacontent n rdamedia nc rdacarrier Kluwer international series in engineering and computer science Originally presented as the author's thesis (Universität Dortmund) under the title: "The maximum-margin approach to learning text classifiers--methods, theory, and algorithms," 2001. - Includes bibliographical references (p. [181]-196) and index Zugl.: Dortmund, Univ., Diss., 2001 Textverarbeitung Linguistik (DE-588)4259878-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Textverarbeitung Linguistik (DE-588)4259878-3 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 http://www.loc.gov/catdir/toc/fy032/2002022127.html Table of contents |
spellingShingle | Joachims, Thorsten Learning to classify text using support vector machines methods, theory and algorithms Textverarbeitung Linguistik (DE-588)4259878-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4259878-3 (DE-588)4193754-5 (DE-588)4113937-9 |
title | Learning to classify text using support vector machines methods, theory and algorithms |
title_auth | Learning to classify text using support vector machines methods, theory and algorithms |
title_exact_search | Learning to classify text using support vector machines methods, theory and algorithms |
title_exact_search_txtP | Learning to classify text using support vector machines methods, theory and algorithms |
title_full | Learning to classify text using support vector machines methods, theory and algorithms by Thorsten Joachims |
title_fullStr | Learning to classify text using support vector machines methods, theory and algorithms by Thorsten Joachims |
title_full_unstemmed | Learning to classify text using support vector machines methods, theory and algorithms by Thorsten Joachims |
title_short | Learning to classify text using support vector machines |
title_sort | learning to classify text using support vector machines methods theory and algorithms |
title_sub | methods, theory and algorithms |
topic | Textverarbeitung Linguistik (DE-588)4259878-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Textverarbeitung Linguistik Maschinelles Lernen Hochschulschrift |
url | http://www.loc.gov/catdir/toc/fy032/2002022127.html |
work_keys_str_mv | AT joachimsthorsten learningtoclassifytextusingsupportvectormachinesmethodstheoryandalgorithms |