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  A Short Introduction to Learning with Kernels

Schölkopf, B., & Smola, A. (2003). A Short Introduction to Learning with Kernels. In S. Mendelson, & A. Smola (Eds.), Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002 (pp. 41-64). Berlin, Germany: Springer. doi:10.1007/3-540-36434-X_2.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DDC4-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-737E-D
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F3-540-36434-X_2.pdf (Publisher version)
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 Creators:
Schölkopf, B1, 2, Author           
Smola, AJ, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: We briefly describe the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. This includes a derivation of the support vector optimization problem for classification and regression, the v-trick, various kernels and an overview over applications of kernel methods.

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 Dates: 2003-012003
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 2091
DOI: 10.1007/3-540-36434-X_2
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Title: Machine Learning Summer School 2002
Place of Event: Canberra, Australia
Start-/End Date: 2002-02-11 - 2002-02-22

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Source 1

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Title: Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002
Source Genre: Proceedings
 Creator(s):
Mendelson, S, Editor
Smola, AJ1, Editor           
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 41 - 64 Identifier: ISBN: 978-3-540-00529-2

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 2600 Sequence Number: - Start / End Page: - Identifier: -