Machine learning for parameter estimation
J. Nathan Kutz
Abstract
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Topics & Concepts
Computer scienceEstimationArtificial intelligenceMachine learningEngineeringSystems engineeringMarkov Chains and Monte Carlo MethodsGaussian Processes and Bayesian InferenceControl Systems and Identification