On the Time Series Support Vector Machine Using Dynamic Time Warping Kernel for Brain Activity Classification

@inproceedings{Chaovalitwongse2008OnTT,
  title={On the Time Series Support Vector Machine Using Dynamic Time Warping Kernel for Brain Activity Classification},
  author={W. Art Chaovalitwongse and Panos M. Pardalos},
  year={2008}
}
The human brain is among the most complex systems known to man. In neuroscience research, countless number of studies have attempted to comprehend the mechanism of brain functions through detailed analysis of neuronal excitability and synaptic transmission. Many theories of brain functions have been proposed over the last century. Only in the last few years has it become feasible to capture simultaneous responses from large enough numbers of neurons to empirically test those long-standing… CONTINUE READING
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a c k e l l a r e s

  • D IasemidisL., P SZaveriH.
  • W i l l i a m s W . J
  • 1988
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