MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

• मुख्य लेखक: Von Toussaint, Udo (auth)
• अन्य लेखक: Preuss, Roland (auth)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: MDPI - Multidisciplinary Digital Publishing Institute 2020
• विषय: 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
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

This Proceedings book presents papers from the 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2019. The workshop took place at the Max Planck Institute for Plasma Physics in Garching near Munich, Germany, from 30 June to 5 July 2019,...