An introduction to support vector machines and other kernel-based learning methods:
"This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character rec...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge [u.a.]
Cambridge Univ. Press
2002
|
| Ausgabe: | Repr. with corr. |
| Schlagworte: | |
| Zusammenfassung: | "This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software." -- BOOK JACKET. |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XIII, 189 S. graph. Darst. |
| ISBN: | 0521780195 |
Internformat
MARC
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| 650 | 4 | |a Algorithms | |
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Datensatz im Suchindex
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| author | Cristianini, Nello 1968- Shawe-Taylor, John |
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| author_role | aut aut |
| author_sort | Cristianini, Nello 1968- |
| author_variant | n c nc j s t jst |
| building | Verbundindex |
| bvnumber | BV021966774 |
| callnumber-first | Q - Science |
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| callnumber-raw | Q325.5 |
| callnumber-search | Q325.5 |
| callnumber-sort | Q 3325.5 |
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| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)1076674115 (DE-599)BVBBV021966774 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | Repr. with corr. |
| format | Book |
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| id | DE-604.BV021966774 |
| illustrated | Illustrated |
| index_date | 2024-07-02T16:08:58Z |
| indexdate | 2024-07-09T20:48:25Z |
| institution | BVB |
| isbn | 0521780195 |
| language | English |
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| physical | XIII, 189 S. graph. Darst. |
| publishDate | 2002 |
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| publisher | Cambridge Univ. Press |
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| spelling | Cristianini, Nello 1968- Verfasser (DE-588)133181499 aut An introduction to support vector machines and other kernel-based learning methods Nello Cristianini and John Shawe-Taylor Repr. with corr. Cambridge [u.a.] Cambridge Univ. Press 2002 XIII, 189 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben "This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software." -- BOOK JACKET. Algorithms Kernel functions Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Lernendes System (DE-588)4120666-6 gnd rswk-swf Support-Vektor-Maschine (DE-588)4505517-8 gnd rswk-swf Lernendes System (DE-588)4120666-6 s Maschinelles Lernen (DE-588)4193754-5 s Support-Vektor-Maschine (DE-588)4505517-8 s 1\p DE-604 DE-604 Shawe-Taylor, John Verfasser aut 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Cristianini, Nello 1968- Shawe-Taylor, John An introduction to support vector machines and other kernel-based learning methods Algorithms Kernel functions Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Lernendes System (DE-588)4120666-6 gnd Support-Vektor-Maschine (DE-588)4505517-8 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4120666-6 (DE-588)4505517-8 |
| title | An introduction to support vector machines and other kernel-based learning methods |
| title_auth | An introduction to support vector machines and other kernel-based learning methods |
| title_exact_search | An introduction to support vector machines and other kernel-based learning methods |
| title_exact_search_txtP | An introduction to support vector machines and other kernel-based learning methods |
| title_full | An introduction to support vector machines and other kernel-based learning methods Nello Cristianini and John Shawe-Taylor |
| title_fullStr | An introduction to support vector machines and other kernel-based learning methods Nello Cristianini and John Shawe-Taylor |
| title_full_unstemmed | An introduction to support vector machines and other kernel-based learning methods Nello Cristianini and John Shawe-Taylor |
| title_short | An introduction to support vector machines and other kernel-based learning methods |
| title_sort | an introduction to support vector machines and other kernel based learning methods |
| topic | Algorithms Kernel functions Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Lernendes System (DE-588)4120666-6 gnd Support-Vektor-Maschine (DE-588)4505517-8 gnd |
| topic_facet | Algorithms Kernel functions Machine learning Maschinelles Lernen Lernendes System Support-Vektor-Maschine |
| work_keys_str_mv | AT cristianininello anintroductiontosupportvectormachinesandotherkernelbasedlearningmethods AT shawetaylorjohn anintroductiontosupportvectormachinesandotherkernelbasedlearningmethods |