Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning by Zhang-Meng Liu, Zheng Liu, Dao-Wang Feng, Zhi-Tao Huang

“…A spatial filtering-based relevance vector machine (RVM) is proposed in this paper to separate coherent sources and estimate their directions-of-arrival (DOA), with the filter parameters and DOA estimates initialized and refined via sparse Bayesian learning. The RVM is used to exploit the spatial sparsity of the incident signals and gain improved adaptability to much demanding scenarios, such as low signal-to-noise ratio (SNR), limited snapshots, and spatially adjacent sources, and the spatial filters are introduced to enhance global convergence of the original RVM in the case of coherent sources. …”
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Uniqueness of the Level Two Bayesian Network Representing a Probability Distribution by Linda Smail

“…This paper presents Bayesian networks and discusses the inference problem in such models. …”
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Active oversight and quality control in standard Bayesian optimization for autonomous experiments by Sumner B. Harris, Rama Vasudevan, Yongtao Liu

“…Abstract The fusion of experimental automation and machine learning has catalyzed a new era in materials research, prominently featuring Gaussian Process (GP) Bayesian Optimization (BO) driven autonomous experiments. …”
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Bayesian Inference of Ammunition Consumption Based on Normal-Inverse Gamma Distribution by Haobang Liu, Xianming Shi, Xiaojuan Chen, Yuan Li, Mei Zhao, Yongchao Jiang

“…It is to establish a Bayesian estimation model for ammunition consumption under different damage degrees according to field test data based on Bayesian formula and solve for its posterior distribution. …”
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Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays by Matteo Carlin, Paolo Rocca, Giacomo Oliveri, Andrea Massa

“…The Bayesian compressive sensing (BCS) is applied to estimate the directions of arrival (DoAs) of narrow-band electromagnetic signals impinging on planar antenna arrangements. …”
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Damage Evaluation of Bridge Hanger Based on Bayesian Inference: Analytical Model by Yang Ding, Jing-liang Dong, Tong-lin Yang, Zhong-ping Wang, Shuang-xi Zhou, Yong-qi Wei, An-ming She

“…Nowadays, the probability statistics method based on Bayes’ theorem is widely used for evaluating the damage of bridge, that is, Bayesian inference. In this study, the damage evaluation model of bridge hanger is established based on Bayesian inference. …”
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Monitoring Murder Crime in Namibia Using Bayesian Space-Time Models by Isak Neema, Dankmar Böhning

“…This paper focuses on the analysis of murder in Namibia using Bayesian spatial smoothing approach with temporal trends. …”
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A Bayesian approach to discrete multiple outcome network meta-analysis. by Rebecca Graziani, Sergio Venturini

“…In this paper we suggest a new Bayesian approach to network meta-analysis for the case of discrete multiple outcomes. …”
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Evaluation of Building Seismic Capacity Based on Improved Naive Bayesian Algorithm by Yalong Li, Wei Wang, Bin Tan, Hongxia Wang

“…On the basis of the Spearman correlation coefficient calculation of the index, the improved naive Bayesian algorithm is combined with the importance of the index to build a judgment model for the seismic capacity of housing buildings. …”
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Remodeling the light-adapted electroretinogram using a bayesian statistical approach by Marek Brabec, Fernando Marmolejo-Ramos, Lynne Loh, Irene O. Lee, Mikhail Kulyabin, Aleksei Zhdanov, Hugo Posada-Quintero, Dorothy A. Thompson, Paul A. Constable

“…Averaged waveforms from each eye and flash strength were analyzed with Bayesian regularization of the covariance matrices using 100 equal length time intervals. …”
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Determining Parameters of Metal-Halide Perovskites Using Photoluminescence with Bayesian Inference by Manuel Kober-Czerny, Akash Dasgupta, Seongrok Seo, Florine M. Rombach, David P. McMeekin, Heon Jin, Henry J. Snaith

“…In this work, we demonstrate that time-resolved photoluminescence data of metal halide perovskites can be effectively evaluated by combining Bayesian inference with a Markov-chain Monte-Carlo algorithm and a physical model. …”
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Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms by Imad Zyout, Ikhlas Abdel-Qader, Christina Jacobs

“…In this paper, a new framework that integrates Bayesian classifier and a pattern synthesizing scheme for detecting microcalcification clusters is proposed. …”
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Predicting Individual Systems Thinking Skills Using Bayesian Network Approach by Niamat Ullah Ibne Hossain, Raed Jaradat, Morteza Nagahi, Alex Gorod

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A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging by Nawrès Khlifa, Najla Gribaa, Imen Mbazaa, Kamel Hamruoni

“…Since these images are modeled as the realization of a Poisson process, we propose a new framework that performs variance stabilizing of the Poisson process before applying an adapted Bayesian wavelet shrinkage. The proposed method has been applied on real images, and it has proved its performance.…”
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Retracted: Analysis of Farmer Relocation Selection Behavior Based on Bayesian Network by Journal of Function Spaces

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Modelling sensory attenuation as Bayesian causal inference across two datasets. by Anna-Lena Eckert, Elena Fuehrer, Christina Schmitter, Benjamin Straube, Katja Fiehler, Dominik Endres

“…We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for sensory information is inferred.…”
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RELIABILITY ANALYSIS FOR JACK-UP GEARBOX BASED ON COPULA BAYESIAN NETWORK by ZHANG Qing, LIU Chao, SUN YuanTao, QIN XianRong

“…However,the Copula Bayesian network takes advantage of both Copula function and Bayesian network,it can takes the correlation of variables into consideration by using Copula function,and makes probability inference of reliability at the same time. …”
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Network intrusion intention analysis model based on Bayesian attack graph by Zhiyong LUO, Xu YANG, Jiahui LIU, Rui XU

Subjects: “…Bayesian belief network…”
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Fund Performance Evaluation Based on Bayesian Model and Machine Learning Algorithm by Shuanbao Li, Shenming Qu

“…Based on Bayesian method, this paper constructs a model for estimating fund performance evaluation, and uses machine learning algorithm to construct a sampler that can sample on the basis of conditional distribution. …”
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Bayesian Network analysis of software logs for data‐driven software maintenance by Santiago delRey, Silverio Martínez‐Fernández, Antonio Salmerón

“…Indeed, software quality assurance and improvement programs have attracted many researchers' attention. Bayesian Networks (BNs) are proposed as a log analysis technique to discover poor performance indicators in a system and to explore usage patterns that usually require temporal analysis. …”
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