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human kernel 总结

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bayesian nonparametric models such as Gaussian processes

function extrapolation problems

kernel learning framework

** reverse the human-like and inductive biases of human across a set of behavioral experiments

to gain psychological insights and to extrapolate in human

model ability determined by

  1. its support(which solutions are a priori possible )
  2. inductive biases (which solutions are a priori likely)

controlled by a covariance kernel


Published

3月 3, 2016

Category

研究

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  • 论文 39

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