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Empirical Inference Article 2003

Statistical Learning Theory, Capacity and Complexity

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Empirical Inference
Bernhard Schölkopf
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We give an exposition of the ideas of statistical learning theory, followed by a discussion of how a reinterpretation of the insights of learning theory could potentially also benefit our understanding of a certain notion of complexity.

Author(s): Schölkopf, B.
Journal: Complexity
Volume: 8
Number (issue): 4
Pages: 87-94
Year: 2003
Month: July
Day: 0
Bibtex Type: Article (article)
DOI: 10.1002/cplx.10094
Digital: 0
Electronic Archiving: grant_archive
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik
Links:

BibTex 

@article{2364,
  title = {Statistical Learning Theory, Capacity and Complexity},
  journal = {Complexity},
  abstract = {We give an exposition of the ideas of statistical learning theory, followed by a discussion of how a reinterpretation of the insights of learning theory could potentially also benefit our understanding of a certain notion of complexity.},
  volume = {8},
  number = {4},
  pages = {87-94},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = jul,
  year = {2003},
  slug = {2364},
  author = {Sch{\"o}lkopf, B.},
  month_numeric = {7}
}