Support vector machines and dynamic time warping for time series

@article{Gudmundsson2008SupportVM,
  title={Support vector machines and dynamic time warping for time series},
  author={Steinn Gudmundsson and Thomas Philip Runarsson and Sven Sigurdsson},
  journal={2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)},
  year={2008},
  pages={2772-2776}
}
Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition of a similarity measure, with the condition that kernels are positive semi-definite (PSD). An alternative approach which places no such restrictions on the similarity measure is to construct a set of inputs and let each example be represented by its similarity to all the examples in this set and then apply a conventional… CONTINUE READING
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The UCR time series classification/clustering homepage

  • E. Keogh, X. Xi, L. Wei, C. A. Ratanamahatana
  • http://www.cs.ucr.edu/ ∼eamonn/time series data…
  • 2006
1 Excerpt

Dealing with large diagonals in kernel matrices

  • J. Weston, B. Schölkopf, E. Eskin, C. Leslie, W. Noble
  • Annals of the Institute of Statistical…
  • 2003
2 Excerpts

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