Experimental adaptive Bayesian tomography
نویسندگان
چکیده
K. S. Kravtsov,1 S. S. Straupe,2,* I. V. Radchenko,1 N. M. T. Houlsby,3 F. Huszár,3 and S. P. Kulik2 1A. M. Prokhorov General Physics Institute RAS, Moscow, Russia 2Faculty of Physics, M. V. Lomonosov Moscow State University, Moscow, Russia 3Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, United Kingdom (Received 26 March 2013; published 28 June 2013)
منابع مشابه
Numerical Meshless Method in Conjunction with Bayesian Theorem for Electrical Tomography of Concrete
Electric potential measurement technique (tomography) was introduced as a nondestructive method to evaluate concrete properties and durability. In this study, numerical meshless method was developed to solve a differential equation which simulates electric potential distribution for concrete with inclusion in two dimensions. Therefore, concrete samples with iron block inclusion in different loc...
متن کاملPractical adaptive quantum tomography
We introduce a fast and accurate heuristic for adaptive tomography that addressesmany of the limitations of priormethods. Previous approaches were either too computationally intensive or tailored to handle special cases such as single qubits or pure states. By contrast, our approach combines the efficiency of online optimizationwith generally applicable andwell-motivated data-processing techniq...
متن کاملBayesian Quantile Regression with Adaptive Elastic Net Penalty for Longitudinal Data
Longitudinal studies include the important parts of epidemiological surveys, clinical trials and social studies. In longitudinal studies, measurement of the responses is conducted repeatedly through time. Often, the main goal is to characterize the change in responses over time and the factors that influence the change. Recently, to analyze this kind of data, quantile regression has been taken ...
متن کاملBayesian Quantile Regression with Adaptive Lasso Penalty for Dynamic Panel Data
Dynamic panel data models include the important part of medicine, social and economic studies. Existence of the lagged dependent variable as an explanatory variable is a sensible trait of these models. The estimation problem of these models arises from the correlation between the lagged depended variable and the current disturbance. Recently, quantile regression to analyze dynamic pa...
متن کاملRobust Opponent Modeling in Real-Time Strategy Games using Bayesian Networks
Opponent modeling is a key challenge in Real-Time Strategy (RTS) games as the environment is adversarial in these games, and the player cannot predict the future actions of her opponent. Additionally, the environment is partially observable due to the fog of war. In this paper, we propose an opponent model which is robust to the observation noise existing due to the fog of war. In order to cope...
متن کامل