• Corpus ID: 235457954

Active learning for seismic processing parameterisation, with an application to first break picking

@inproceedings{Richardson2021ActiveLF,
  title={Active learning for seismic processing parameterisation, with an application to first break picking},
  author={Alan Richardson},
  year={2021}
}
Parameter values for seismic processing steps are often chosen on a regular grid of samples and interpolated. Active learning instead attempts to optimally select the samples on which parameter values are chosen. For parameters that do not vary smoothly, this often reduces the number of samples that need to be labelled in order to achieve a desired accuracy on the whole dataset. In regression tasks this is typically achieved using a query by committee strategy that selects the samples on which… 

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