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A survey of kernels for structured data

by: Thomas Gärtner

In: SIGKDD Explor. Newsl., Vol. 5, Nr. 1 New York, NY, USA: ACM (2003) , p. 49--58.

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URL:	http://portal.acm.org/citation.cfm?doid=959242.959248
DOI:	10.1145/959242.959248

Kernel methods in general and support vector machines in particular have been successful in various learning tasks on data represented in a single table. Much 'real-world' data, however, is structured - it has no natural representation in a single table. Usually, to apply kernel methods to 'real-world' data, extensive pre-processing is performed to embed the data into areal vector space and thus in a single table. This survey describes several approaches of defining positive definite kernels on structured instances directly.

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A survey of kernels for structured data

BibTeX record

@article{959248,
  abstract = {Kernel methods in general and support vector machines in particular have been successful in various learning tasks on data represented in a single table. Much 'real-world' data, however, is structured - it has no natural representation in a single table. Usually, to apply kernel methods to 'real-world' data, extensive pre-processing is performed to embed the data into areal vector space and thus in a single table. This survey describes several approaches of defining positive definite kernels on structured instances directly.},
  added-at = {2010-07-27T17:21:24.000+0200},
  address = {New York, NY, USA},
  author = {G\"{a}rtner, Thomas},
  biburl = {http://www.bibsonomy.org/bibtex/202ed899eed46b754ee9c3914459db6e5/macek},
  description = {A survey of kernels for structured data},
  doi = {10.1145/959242.959248},
  interhash = {6c0747dee495ca023eb3863aa7164684},
  intrahash = {02ed899eed46b754ee9c3914459db6e5},
  issn = {1931-0145},
  journal = {SIGKDD Explor. Newsl.},
  keywords = {Kernel},
  number = 1,
  pages = {49--58},
  publisher = {ACM},
  timestamp = {2010-07-27T17:21:24.000+0200},
  title = {A survey of kernels for structured data},
  url = {http://portal.acm.org/citation.cfm?doid=959242.959248},
  volume = 5,
  year = 2003
}

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BibSonomy :: publication ::

A survey of kernels for structured data

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