Results 71 to 80 of about 800 (115)
A Full Bayesian Approach for Inverse Problems [PDF]
, 1996 Presented at MaxEnt95. Appeared in Maximum Entropy and Bayesian Methods, K. Hanson and R. Silver (Ed.), Kluwer Academic Publishers, pp: 135-144, (http://www.wkap.nl/prod/b/0-7923-4311-5)
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Surrogate-accelerated Bayesian Inversion for Exoplanet Interior Characterization
The Astrophysical JournalCharacterizing the interior structure of exoplanets is an inverse problem often solved using Bayesian inference, but this approach is hampered by the high computational cost of planetary structure models.
Tijn de Wringer +3 more
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Bottom Multi-Parameter Bayesian Inversion Based on an Acoustic Backscattering Model
Journal of Marine Science and EngineeringThe geoacoustic and physical properties of the bottom, as well as spatial distribution, are crucial factors in analyzing the underwater acoustic field structure and establishing a geoacoustic model.
Yi Zheng +6 more
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Bayesian approach to inverse statistical mechanics
Physical Review E, 2014 Inverse statistical mechanics aims to determine particle interactions from ensemble properties. This article looks at this inverse problem from a Bayesian perspective and discusses several statistical estimators to solve it. In addition, a sequential Monte Carlo algorithm is proposed that draws the interaction parameters from their posterior ...
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Auto-Encoding Bayesian Inverse Games
When multiple agents interact in a common environment, each agent's actions impact others' future decisions, and noncooperative dynamic games naturally capture this coupling. In interactive motion planning, however, agents typically do not have access to a complete model of the game, e.g., due to unknown objectives of other players.
Xinjie Liu +4 more
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Scientific ReportsRapid and accurate identification of pollution sources is critical for emergency management but remains challenged by the high computational cost and uncertainty of traditional numerical models.
Yanchen Wang +4 more
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2021
Many problems in science and engineering consist of estimating some unknown parameters of a physical system from limited and noisy observations. In practical conditions, these problems are often unstable; hence, they should be treated in an appropriate framework in the theory of inverse problems.
Juan ChiachÃo-Ruano +2 more
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Many problems in science and engineering consist of estimating some unknown parameters of a physical system from limited and noisy observations. In practical conditions, these problems are often unstable; hence, they should be treated in an appropriate framework in the theory of inverse problems.
Juan ChiachÃo-Ruano +2 more
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Inverse Halftoning Based on the Bayesian Theorem
IEEE Transactions on Image Processing, 2011This study proposes a method which can generate high quality inverse halftone images from halftone images. This method can be employed prior to any signal processing over a halftone image or the inverse halftoning used in JBIG2. The proposed method utilizes the least-mean-square (LMS) algorithm to establish a relationship between the current processing
Yun-Fu Liu, Jing-Ming Guo, Jiann-Der Lee
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Hierarchical Bayesian Inverse Reinforcement Learning
IEEE Transactions on Cybernetics, 2015Inverse 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 +1 more
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Bayesian Inversion of Traveltimes for Cavity Location
Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008, 2008We present a case history for the location of a cavity in the subsurface by processing the signal generated inside the cavity by a seismic source. The signal emitted by the source is recorded by surface sensors and it is processed in order to obtain direct arrival traveltimes.
BERNASCONI, GIANCARLO, ROVETTA, DIEGO
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