Results 281 to 290 of about 846,274 (324)

Hierarchical Bayesian Inverse Reinforcement Learning

IEEE Transactions on Cybernetics, 2015
Inverse reinforcement learning (IRL) is the problem of inferring the underlying reward function from the expert's behavior data. The difficulty in IRL mainly arises in choosing the best reward function since there are typically an infinite number of reward functions that yield the given behavior data as optimal.
Choi, JD Choi, Jae-Deug, Kim, KE Kim, Kee-Eung   +1 more
openaire   +3 more sources

Bayesian Estimation of Inverse Dose Response

Biometrics, 2008
Summary Inverse dose–response estimation refers to the inference of an effective dose of some agent that gives a desired probability of response, say 0.5. We consider inverse dose response for two agents, an application that has not received much attention in the literature.
Hu, Bo, Ji, Yuan, Tsui, Kam-Wah
openaire   +3 more sources

Joint Bayesian inversion based on rock-physics prior modeling for the estimation of spatially correlated reservoir properties

Geophysics, 2018
The joint inversion of seismic data for elastic and petrophysical properties is an inverse problem with a nonunique solution. There are several factors that impact the accuracy of the results, such as the statistical rock-physics relations and ...
L. D. de Figueiredo, D. Grana, F. Bordignon, Marcio Santos, M. Roisenberg, Bruno B. Rodrigues   +5 more
semanticscholar   +1 more source

Bayesian Gaussian Mixture Linear Inversion in Geophysical Inverse Problems

Proceedings, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dario Grana, Torstein Fjeldstad, Henning Omre   +2 more
openaire   +2 more sources

Bayesian Inversion of Logging-While-Drilling Extra-Deep Directional Resistivity Measurements Using Parallel Tempering Markov Chain Monte Carlo Sampling

IEEE Transactions on Geoscience and Remote Sensing, 2019
We present a Bayesian inversion scheme to extract multiple bed boundaries from extra-deep directional logging-while-drilling (LWD) resistivity measurements (EDDRM).
Lei Wang, Hu Li, Yiren Fan
semanticscholar   +1 more source

Fast Bayesian Linearized Inversion With an Efficient Dimension Reduction Strategy

IEEE Transactions on Geoscience and Remote Sensing
Bayesian linearized inversion (BLI) stands out as an exceptional stochastic inversion method in the realms of geophysics and remote sensing. It excels in estimating inversion results and assessing their uncertainty with remarkable efficiency.
Bo Yu, Ying Shi, Hui Zhou, Yamei Cao, Ning Wang, Xinhong Ji   +5 more
semanticscholar   +1 more source

Bayesian anisotropic Dix inversion

SEG Technical Program Expanded Abstracts 2013, 2013
We present a Bayesian method for anisotropic Dix inversion and illustrate it with a synthetic 1D example. The method consists of two sequential constrained Dix type inversions, in which the first step solves for interval NMO velocity using the Bayesian Dix inversion developed by Buland et al. (2011).
Eirik Dischler, Ketil Hokstad, Arild Buland   +2 more
openaire   +1 more source

Bayesian time-lapse inversion

GEOPHYSICS, 2006
A new, fast inversion approach for time-lapse seismic data is developed where the uncertainty of the inversion results is an integral part of the solution. The inversion method estimates changes in the elastic material properties of a reservoir because of production of hydrocarbons, including uncertainty bounds on these estimates.
Arild Buland, Youness El Ouair
openaire   +1 more source

Sparsity-promoting Bayesian inversion

Inverse Problems, 2012
A computational Bayesian inversion model is demonstrated. It is discretization invariant, describes prior information using function spaces with a wavelet basis and promotes reconstructions that are sparse in the wavelet transform domain. The method makes use of the Besov space prior with p = 1, q = 1 and s = 1, which is related to the total variation ...
Niinimäki Kati, Kolehmainen Ville Petteri, Lassas M., Siltanen S.   +3 more
openaire   +1 more source

Probability Quantification of GSI and D in Hoek–Brown Criterion Using Bayesian Inversion and Ultrasonic Test in Rock Mass

Rock Mechanics and Rock Engineering, 2023
Jian Liu, Quan Jiang, D. Dias, Chen Tao
semanticscholar   +1 more source