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Audiogram estimation using Bayesian active learning
The Journal of the Acoustical Society of America, 2018Two methods for estimating audiograms quickly and accurately using Bayesian active learning were developed and evaluated. Both methods provided an estimate of threshold as a continuous function of frequency. For one method, six successive tones with decreasing levels were presented on each trial and the task was to count the number of tones heard.
Schlittenlacher, Josef +2 more
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Structural reliability analysis by line sampling: A Bayesian active learning treatment
Structural Safety, 2023Chao Dang, Michael Beer, Pengfei Wei
exaly
Active Learning of Bayesian Force Fields
2022Simulating matter at the atomistic scale can accelerate drug design and materials discovery, but the most accurate atomistic simulation methods are prohibitively expensive. In the past decade, machine learning (ML) has emerged as a powerful tool for combining the computational efficiency of classical force fields with the accuracy of quantum-mechanical
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Active learning Bayesian support vector regression model for global approximation
Information Sciences, 2021Yan Shi, Zhenzhou Lu
exaly
Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory
Entropy, 2020Ilja Kröker +2 more
exaly
Active learning using transductive sparse Bayesian regression
Information Sciences, 2016Jaewook Lee, Youngdoo Son
exaly
Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities
Reliability Engineering and System SafetyChao Dang, Michael Beer
exaly