About the Authors

  title={About the Authors},
  author={Ilya Shmulevich},
  journal={Psychological Science in the Public Interest},
  pages={104 - 104}
  • I. Shmulevich
  • Published 1 December 2012
  • Computer Science
  • Psychological Science in the Public Interest
Mining large datasets using machine learning approaches often leads to models that are hard to interpret and not amenable to the generation of hypotheses that can be experimentally tested. Finding ‘actionable knowledge’ is becoming more important, but also more challenging as datasets grow in size and complexity. We present ‘Logic Optimization for Binary Input to Continuous Output’ (LOBICO), a computational approach that infers small and easily interpretable logic models of binary input… 


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