An introduction to the theory of reproducing kernel Hilbert spaces:
Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This unique text offers a unified over...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
[2016]
|
| Series: | Cambridge studies in advanced mathematics
152 |
| Subjects: | |
| Online Access: | BSB01 FHN01 UBR01 UBW01 Volltext |
| Summary: | Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This unique text offers a unified overview of the topic, providing detailed examples of applications, as well as covering the fundamental underlying theory, including chapters on interpolation and approximation, Cholesky and Schur operations on kernels, and vector-valued spaces. Self-contained and accessibly written, with exercises at the end of each chapter, this unrivalled treatment of the topic serves as an ideal introduction for graduate students across mathematics, computer science, and engineering, as well as a useful reference for researchers working in functional analysis or its applications |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Apr 2016) |
| Physical Description: | 1 Online-Ressource (x, 182 Seiten) |
| ISBN: | 9781316219232 |
| DOI: | 10.1017/CBO9781316219232 |
Staff View
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| 520 | |a Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This unique text offers a unified overview of the topic, providing detailed examples of applications, as well as covering the fundamental underlying theory, including chapters on interpolation and approximation, Cholesky and Schur operations on kernels, and vector-valued spaces. Self-contained and accessibly written, with exercises at the end of each chapter, this unrivalled treatment of the topic serves as an ideal introduction for graduate students across mathematics, computer science, and engineering, as well as a useful reference for researchers working in functional analysis or its applications | ||
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| institution | BVB |
| isbn | 9781316219232 |
| language | English |
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| publishDate | 2016 |
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| spelling | Paulsen, Vern 1951- Verfasser (DE-588)1042263655 aut An introduction to the theory of reproducing kernel Hilbert spaces Vern I. Paulsen, Mrinal Raghupathi Cambridge Cambridge University Press [2016] 1 Online-Ressource (x, 182 Seiten) txt rdacontent c rdamedia cr rdacarrier Cambridge studies in advanced mathematics 152 Title from publisher's bibliographic system (viewed on 05 Apr 2016) Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This unique text offers a unified overview of the topic, providing detailed examples of applications, as well as covering the fundamental underlying theory, including chapters on interpolation and approximation, Cholesky and Schur operations on kernels, and vector-valued spaces. Self-contained and accessibly written, with exercises at the end of each chapter, this unrivalled treatment of the topic serves as an ideal introduction for graduate students across mathematics, computer science, and engineering, as well as a useful reference for researchers working in functional analysis or its applications Hilbert space / Textbooks Kernel functions / Textbooks Hilbert-Raum (DE-588)4159850-7 gnd rswk-swf Kernfunktion (DE-588)4163607-7 gnd rswk-swf Hilbert-Raum (DE-588)4159850-7 s Kernfunktion (DE-588)4163607-7 s DE-604 Raghupathi, Mrinal Verfasser (DE-588)1103140957 aut Erscheint auch als Druck-Ausgabe 978-1-107-10409-9 Cambridge studies in advanced mathematics 152 (DE-604)BV044781283 152 https://doi.org/10.1017/CBO9781316219232 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Paulsen, Vern 1951- Raghupathi, Mrinal An introduction to the theory of reproducing kernel Hilbert spaces Cambridge studies in advanced mathematics Hilbert space / Textbooks Kernel functions / Textbooks Hilbert-Raum (DE-588)4159850-7 gnd Kernfunktion (DE-588)4163607-7 gnd |
| subject_GND | (DE-588)4159850-7 (DE-588)4163607-7 |
| title | An introduction to the theory of reproducing kernel Hilbert spaces |
| title_auth | An introduction to the theory of reproducing kernel Hilbert spaces |
| title_exact_search | An introduction to the theory of reproducing kernel Hilbert spaces |
| title_full | An introduction to the theory of reproducing kernel Hilbert spaces Vern I. Paulsen, Mrinal Raghupathi |
| title_fullStr | An introduction to the theory of reproducing kernel Hilbert spaces Vern I. Paulsen, Mrinal Raghupathi |
| title_full_unstemmed | An introduction to the theory of reproducing kernel Hilbert spaces Vern I. Paulsen, Mrinal Raghupathi |
| title_short | An introduction to the theory of reproducing kernel Hilbert spaces |
| title_sort | an introduction to the theory of reproducing kernel hilbert spaces |
| topic | Hilbert space / Textbooks Kernel functions / Textbooks Hilbert-Raum (DE-588)4159850-7 gnd Kernfunktion (DE-588)4163607-7 gnd |
| topic_facet | Hilbert space / Textbooks Kernel functions / Textbooks Hilbert-Raum Kernfunktion |
| url | https://doi.org/10.1017/CBO9781316219232 |
| volume_link | (DE-604)BV044781283 |
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