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Points of significance: Machine learning: supervised methods

Supervised learning algorithms extract general principles from observed examples guided by a specific prediction objective.

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References

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    , & Springer Series in Statistics, Heidelberg (2001).

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    , & Nat. Methods 13, 703–704 (2016).

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    , & Nat. Methods 13, 803–804 (2016).

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    & Neuroimage 155, 549–564 (2017).

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Author information

Affiliations

  1. Danilo Bzdok is an Assistant Professor at the Department of Psychiatry at the RWTH Aachen University in Germany and a Visiting Professor at INRIA/Neurospin Saclay in France.

    • Danilo Bzdok
  2. Martin Krzywinski is a staff scientist at Canada's Michael Smith Genome Sciences Centre.

    • Martin Krzywinski
  3. Naomi Altman is a Professor of Statistics at The Pennsylvania State University.

    • Naomi Altman

Authors

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Competing interests

The authors declare no competing financial interests.