Bayesian network for predicting mandibular third molar extraction difficulty by Tian Meng, Zhiyong Zhang, Xiao Zhang, Chao Zhang

“…This Bayesian network model showed quantitative analysis results for extraction difficulty and key risk factors. …”
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A Bayesian Markov Framework for Modeling Breast Cancer Progression by Tong Wu

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Hierarchical Bayesian Spatio-Temporal Modeling for PM10 Prediction by Esam Mahdi, Sana Alshamari, Maryam Khashabi, Alya Alkorbi

“…This article represented, assessed, and compared some recently proposed Bayesian and non-Bayesian models for predicting the daily average particulate matter with a diameter of less than 10 (PM10) measured in Qatar during the years 2016–2019. …”
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Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution by Kaisar Ahmad, S. P. Ahmad, A. Ahmed

“…The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of Nakagami distribution by using Jeffreys’, Extension of Jeffreys’, and Quasi priors under three different loss functions. …”
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A Dynamic Bayesian Approach to Computational Laban Shape Quality Analysis by Dilip Swaminathan, Harvey Thornburg, Jessica Mumford, Stjepan Rajko, Jodi James, Todd Ingalls, Ellen Campana, Gang Qian, Pavithra Sampath, Bo Peng

“…We thus introduce a novel, flexible Bayesian fusion approach for identifying LMA Shape qualities from raw motion capture data in real time. …”
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Sparse Bayesian learning-based massive multi-user detection algorithm by Pingping CHEN, Xuanda WANG, Zhaopeng XIE, Yi FANG, Jiahui CHEN

Subjects: “…sparse Bayesian learning…”
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Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems by Eric Yanchenko, Thomas M. Chappell, Anders S. Huseth

“…Optimization of trap networks using contemporary analytical approaches can help users determine the distribution of traps as information accumulates and priorities change. In this study, a Bayesian optimization (BO) algorithm was used to learn more about the optimal distribution of a fine-scale trap network targeting Helicoverpa zea (Boddie), a significant agricultural pest across North America. …”
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Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction. by Muhammad Rizwan Khurshid, Sadaf Manzoor, Touseef Sadiq, Lal Hussain, Mohammed Shahbaz Khan, Ashit Kumar Dutta

“…This study focused on optimizing the hyperparameters of an XGBoost ensemble machine learning model using Bayesian optimization. Compared to grid search XGBoost (accuracy: 97.24%, F1-score: 95.72%, MCC: 81.02%), the XGBoost with Bayesian optimization achieved slightly improved performance (accuracy: 97.26%, F1-score: 95.72%, MCC:81.18%). …”
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Retracted: Application of Bayesian Vector Autoregressive Model in Regional Economic Forecast by null Complexity

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Bayesian estimation of the likelihood of extreme hail sizes over the United States by Subhadarsini Das, John T. Allen

“…Especially for higher return periods, the Bayesian approach is found to better model very rare hail occurrences than traditional approaches. …”
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Bayesian Inference on the Shape Parameter and Future Observation of Exponentiated Family of Distributions by Sanku Dey, Sudhansu S. Maiti

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Tracking Pedestrians across Multiple Microcells Based on Successive Bayesian Estimations by Yoshiaki Taniguchi, Masahiro Sasabe, Takafumi Watanabe, Hirotaka Nakano

“…Tracking pedestrians in each subregion divided by gates, referred to as microcells, is conducted by matching the pedestrian gate arrival and gate departure events using a Bayesian estimation-based method. To improve accuracy of pedestrian tracking, estimated pedestrian velocity and its reliability in a microcell are used for trajectory estimation in the succeeding microcell. …”
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Bayesian Inference of Burr Type VIII Distribution Based on Censored Samples by Navid Feroz

“…This paper is concerned with estimation of the parameter of Burr type VIII distribution under a Bayesian framework using censored samples. The Bayes estimators and associated risks have been derived under the assumption of five priors and three loss functions. …”
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Guitarist Fingertip Tracking by Integrating a Bayesian Classifier into Particle Filters by Chutisant Kerdvibulvech, Hideo Saito

“…We present it as a new framework for tracking colored finger markers by integrating a Bayesian classifier into particle filters. This adds the useful abilities of automatic track initialization and recovery from tracking failures in a dynamic background. …”
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A Bayesian Inference-Based Method for Uncertainty Analysis in Raman Spectroscopy by Hanxuan Zhou

Subjects: “…Bayesian…”
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A Bayesian active learning platform for scalable combination drug screens by Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey

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Bayesian-network-approximate-reasoning-based method for network vulnerabilities evaluation by JIA Wei1, LIAN Yi-feng2, FENG Deng-guo2, CHEN Si-si3

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A Unified Bayesian Model for Generalized Community Detection in Attribute Networks by Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan

“…In this paper, we propose a novel unified Bayesian generative model to detect generalized communities and provide semantic descriptions simultaneously by combining network topology and node attributes. …”
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Constraining Solar Wind Transport Model Parameters Using Bayesian Analysis by Mark A. Bishop, Sean Oughton, Tulasi N. Parashar, Yvette C. Perrott

“…We apply nested-sampling Bayesian analysis to a model for the transport of magnetohydrodynamic-scale solar wind fluctuations. …”
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Distributed variational sparse Bayesian compressed sensing based on factor graphs by Cui-tao ZHU, Fan YANG, Han-xin WANG, Zhong-jie LI

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