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Connection

Robert Nishikawa to Support Vector Machine

This is a "connection" page, showing publications Robert Nishikawa has written about Support Vector Machine.
Connection Strength

0.035
  1. Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model. Med Phys. 2016 Jan; 43(1):159.
    View in: PubMed
    Score: 0.035
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.