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What Loss Functions Do Humans Optimize When They Perform Regression and Classification.

Hansol X Ryu1,2, Manoj Srinivasan3

  • 1Biomedical Engineering, University of Calgary.

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Summary
This summary is machine-generated.

Humans adapt their data analysis strategies based on data density. For sparse data, they minimize larger errors, while for denser data, they use outlier-resistant methods in regression and classification tasks.

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Area of Science:

  • Cognitive Science
  • Machine Learning
  • Human-Computer Interaction

Background:

  • Understanding human data perception is crucial for data-driven decision-making.
  • Visually mediated sensorimotor control relies on pattern recognition in data.

Conclusions:

  • Human strategies for data analysis shift with increasing data density.
  • Observed trends show significant inter- and intra-subject variability in human decision-making.
  • Understanding human loss functions can enhance the design of human-interactive AI applications.