Batch Classification with Applications in Computer Aided Diagnosis

  title={Batch Classification with Applications in Computer Aided Diagnosis},
  author={Volkan Vural and Glenn Fung and Balaji Krishnapuram and Jennifer G. Dy and R. Bharat Rao},
Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated in several real life problems. In order to relax this a ssumption, we consider the case where batches or groups of samples may hav e internal correlations, whereas the samples from different batches may be con sidered to be uncorrelated. Two algorithms are developed to classify all the samples in a batch jointly, one based on a… CONTINUE READING

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