Robust Gaussian Process Regression with Input Uncertainty: A PAC-Bayes Perspective
IEEE TRANSACTIONS ON CYBERNETICS（2024）
关键词
Training data,Noise measurement,Approximation algorithms,Gaussian processes,Uncertainty,Training,Standards,Bayesian learning,Gaussian process (GP),probably approximately correct (PAC)-Bayes bound,sparse approximation,statistical learning
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