MaxEnt 2019—Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Von Toussaint, Udo||Preuss, Roland
MaxEnt 2019—Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
English[eng]
uncertainty quantification||orthodontics||evidence||global statistical regularization||MCMC||field reconstruction||meshless methods||annealed importance sampling||cervical vertebra maturation||Bayesian evidence||spectral expansion||non-intrusive||model comparison||plasma-wall interactions||nested sampling||Deep Learning (DL)||classification||stochastic gradients||Bayesian Maximum a Posteriori approach||Convolutional Neural Network (CNN)||impedance cardiography||vowel||SGHMC||Gaussian process regression||precise hypotheses||formant||Bayesian analysis||thermodynamic Integration||model averaging||probability theory||acoustic phonetics||UAP||entropy prior probability||source localization||UAV||source-filter theory||SPECT||multi fidelity||Artificial Intelligence (AI)||Monte Carlo||Tic-Tac||pragmatic hypotheses||cluster analysis||aortic dissection||physics-informed methods||UFO||HMC||steady-state||mean shift method||Bayes||Nimitz||image reconstruction||machine learning||local statistical regularization||marginal likelihood||detrending||Gaussian processes||kernel methods||partial differential equations||hypothesis tests||PET
MaxEnt 2019—Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
English[eng]
uncertainty quantification||orthodontics||evidence||global statistical regularization||MCMC||field reconstruction||meshless methods||annealed importance sampling||cervical vertebra maturation||Bayesian evidence||spectral expansion||non-intrusive||model comparison||plasma-wall interactions||nested sampling||Deep Learning (DL)||classification||stochastic gradients||Bayesian Maximum a Posteriori approach||Convolutional Neural Network (CNN)||impedance cardiography||vowel||SGHMC||Gaussian process regression||precise hypotheses||formant||Bayesian analysis||thermodynamic Integration||model averaging||probability theory||acoustic phonetics||UAP||entropy prior probability||source localization||UAV||source-filter theory||SPECT||multi fidelity||Artificial Intelligence (AI)||Monte Carlo||Tic-Tac||pragmatic hypotheses||cluster analysis||aortic dissection||physics-informed methods||UFO||HMC||steady-state||mean shift method||Bayes||Nimitz||image reconstruction||machine learning||local statistical regularization||marginal likelihood||detrending||Gaussian processes||kernel methods||partial differential equations||hypothesis tests||PET