Support vector machines and dynamic time warping for time series

  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)},
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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