User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction

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  Interactive machine learning from multiple biodata sources

  Kaski, S. (Principal investigator)

  01/01/2016 → 31/08/2021

  Project: Academy of Finland: Other research funding

  • Models 100%
  • User 72%
  • Reinforcement Learning 32%
  • Representation 28%
  • Regression 28%

• Interactive machine learning from multiple biodata sources

  Kaski, S. (Principal investigator)

  01/01/2016 → 31/12/2018

  Project: Academy of Finland: Other research funding

  • Models 100%
  • User 48%
  • Regression 39%
  • Computation 32%
  • Elicitation 29%

• Data-Driven Decision Support for Digital Health

  Kaski, S. (Principal investigator)

  01/01/2016 → 30/06/2018

  Project: Academy of Finland: Other research funding

  • Models 100%
  • Expert Knowledge 93%
  • Knowledge Acquisition 93%
  • User 92%
  • Elicitation 87%

• Finnish centre of excellence in computational inference research

  Kaski, S. (Principal investigator)

  01/01/2015 → 31/12/2017

  Project: Academy of Finland: Other research funding

  • Models 100%
  • Evaluation 45%
  • Representation 37%
  • Contexts 32%
  • User 30%