HIGHLIGHTS
- who: SHOGO IWAZAKI and collaborators from the of Computer Science, Nagoya Institute of Technology, Nagoya, Japan have published the research work: Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty, in the Journal: (JOURNAL)
- what: The authors propose an active learning method to solve the IU-rLSE problem efficiently theoretically analyze its accuracy and convergence and illustrate its empirical performance through numerical experiments on artificial and real data. Under the assumption that the prior distribution of the true function follows a Gaussian Process (GP), the authors propose a novel Bayesian experimental design (c . . .
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