9780792376798 - learning to classify text using support vector machines: methods, theory, and algorithms: 668 di joachims, thorsten (21 risultati)
Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.
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Hardcover. Good condition. Dog-eared corners. Libro.
Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Editore: Kluwer Academic Publishers, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. Based on ideas from Support Vector Machines (SVMs), this title presents an approach to generating text classifiers from examples. This book gives a detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, and, efficient performance es…timation. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 205 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 498. . 2002. Hardback. . . . .
Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. pp. 228.
Lingua: Inglese
Editore: Kluwer Academic Publishers, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. Based on ideas from Support Vector Machines (SVMs), this title presents an approach to generating text classifiers from examples. This book gives a detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, and, efficient performance es…timation. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 205 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 498. . 2002. Hardback. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Springer, Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical under…standing and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications.Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.
Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer US Apr 2002, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with t…heoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications.Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning. 224 pp. Englisch.
Lingua: Inglese
Editore: Springer US, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high p…erformance and efficiency with .
Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. Print on Demand pp. 228 Illus.
Lingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. PRINT ON DEMAND pp. 228.
Altre immaginiLingua: Inglese
Editore: Springer, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Buch. Condizione: Neu. Learning to Classify Text Using Support Vector Machines | Thorsten Joachims | Buch | xvii | Englisch | 2002 | Springer | EAN 9780792376798 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Dem…and.
Lingua: Inglese
Editore: Springer, Springer Apr 2002, 2002
Serie: The Springer International Series in Engineering and Computer Science, Libro 158 di 260. Libro 158 di 260 - The Springer International Series in Engineering and Computer Science
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theor…etical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications.Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
