Interpreting support vector machine models for multivariate group wise analysis in neuroimaging

@article{Gaonkar2015InterpretingSV,
  title={Interpreting support vector machine models for multivariate group wise analysis in neuroimaging},
  author={Bilwaj Gaonkar and Russell T. Shinohara and Christos Davatzikos},
  journal={Medical image analysis},
  year={2015},
  volume={24 1},
  pages={
          190-204
        }
}
Machine learning based classification algorithms like support vector machines (SVMs) have shown great promise for turning a high dimensional neuroimaging data into clinically useful decision criteria. However, tracing imaging based patterns that contribute significantly to classifier decisions remains an open problem. This is an issue of critical importance in imaging studies seeking to determine which anatomical or physiological imaging features contribute to the classifier's decision, thereby… CONTINUE READING

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