Analysis of Feature Extraction and Anti-Interference of Face Image under Deep Reconstruction Network Algorithm by Jin Yang, Yuxuan Zhao, Shihao Yang, Xinxin Kang, Xinyan Cao, Xixin Cao

“…Then, the portrait pyramid segmentation and local feature point segmentation are applied to extract the features of face images, and the matching of face feature points is achieved using Euclidean distance and joint Bayesian method. Finally, Matlab software is used to simulate the algorithm proposed in this paper and compare it with other algorithms. …”
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The wrapped Rama distribution by William Bell, Saralees Nadarajah

“…Better fits were assessed in terms of probability plots, density plots, values of Akaike information criterion and values of Bayesian information criterion.…”
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Research of proactive complex event processing method by Shao-feng GENG, Yong-heng WANG, Ren-fa LI, Jia ZHANG

“…Based on the preliminary analysis results of the indeterminate event stream that generated by the sensors and control purpose equipment of CPS,the adaptive dynamic Bayesian network and parallel Markov decision process model were used to support the proactive complex event processing.In order to resolve the vast state space issue of Markov decision process for large CPS,states partition and reward decomposition methods were proposed to parallel the decision making process.The experimental result based on the simulation of traffic network shows that proposed method can process event stream effectively and has favorable scalability.…”
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The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency by Muteb Faraj Alharthi

“…The first is to examine Bayesian sensitivity and consistency of this measure for the case of Markov epidemic models. …”
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Motivation Analysis of Technological Startups Business Models Based on Intelligent Data Mining and Analysis by Xuejiao Ren, Xiaozhou Ding

“…To improve the motivation analysis effect of the technological startups business model, this study combines intelligent data mining technology to analyze related factors and proposes a method of adjusting parameters of machine-learning model based on Bayesian optimization algorithm. Moreover, this study integrates the prior information and sample information of the machine learning algorithm performance function and builds an intelligent analysis model based on the elements of the technological startups business model. …”
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Deep belief network-based link quality prediction for wireless sensor network by Lin-lan LIU, Jiang-bo XU, Yue LI, Zhi-yong YANG

“…After analyzing the existing link quality prediction models,a link quality prediction model for wireless sensor network was proposed,which was based on deep belief network.Support vector classification was employed to estimate link quality,so as to get link quality levels.Deep belief network was applied in extracting the features of link quality,and softmax was taken to predict the next time link quality.In different scenarios,compared with the model of link quality prediction based on logistic regression,BP neural network and Bayesian network methods,the experimental results show that the proposed prediction model achieves better precision.…”
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Attack detection method based on spatiotemporal event correlation in intranet environment by Wei SUN, Peng ZHANG, Yongquan HE, Lichao XING

“…In view of the fact that a single event as an attack detection feature leads to a higher false positive rate,an intranet attack detection method using Bayesian network model for cross-space event correlation and Kalman filter linear model for cross-temporal event correlation was proposed.Based on the method,a process query system was implemented,which can scan and correlate distributed network events according to the user's high-level process description.Experimental analysis show that the proposed method can significantly reduce the false positive rate of intranet attack detection without increasing the computational overhead.…”
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Spherical Simplex-Radial Cubature Quadrature Kalman Filter by Zhaoming Li, Wenge Yang

“…The Gaussian probability weighted integral of the nonlinear function is decomposed into spherical integral and radial integral, which are approximated by spherical simplex cubature rule and arbitrary order Gauss-Laguerre quadrature rule, respectively, and the novel spherical simplex-radial cubature quadrature rule is obtained. Combined with the Bayesian filtering framework, the general form and the specific form of SSRCQKF are put forward, and the numerical simulation results indicate that the proposed algorithm can achieve a higher filtering accuracy than CKF and SSRCKF.…”
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Attention-based approach of detecting spam in social networks by Qiang QU, Hongtao YU, Ruiyang HUANG

“…In social networks,a large amount of spam has seriously threaten users' information security and the credit system of social websites.Aiming at the noise and sparsity problems,an attention-based CNN method was proposed to detect spam.On the basis of classical CNN,this method added a filter layer in which an attention mechanism based on Naive Bayesian weighting technology was designed to solve the noise issue.What’s more,instead of the original pooling strategy,it adapted an attention-based pooling policy to alleviate the sparsity problem.Compared with other methods,the results show that the accuracy has increased by 1.32%，2.15%，0.07%，1.63% on four different data sets.…”
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Fault Diagnosis Method of Wavelet Threshold Analysis Combined with EMD for Mechanical Equipment by Wang Lidong, Zhang Kai

“…According to the problem of noise interference in the mechanical equipment fault signal acquisition,a novel mechanical equipment fault diagnosis method of wavelet shrinkage threshold based on Bayesian estimation combined with EMD is proposed. …”
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Bounds for the mean square error of reliability estimation from gamma distribution in presence of an outlier observation by M. E. Ghitany, W. H. Laverty

“…Given the outlier effect on σ, we determine bounds for the mean and mean square error (MSE) of R(t). A semi-Bayesian approach is discussed when the outlier effect on σ is treated as a random variable having a prior distribution of beta type. …”
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Evaluation of Global South's efficiency at the Summer Olympics. by Julian Alexander Klöcker, Frank Daumann

“…By doing this, our paper is the first using the Bayesian stochastic frontier analysis for exploring the performance of the states of the Global South. …”
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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…The model complexity arising from hyperparameter configurations was appraised based on the Bayesian information criterion and the Akaike information criterion. …”
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Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels by Alemneh Mekuriaw Liyew, Archie C.A. Clements, Fasil Wagnew, Beth Gilmour, Kefyalew Addis Alene

“…Methods: We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels. …”
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Assessment of different genotyping markers and algorithms for distinguishing Plasmodium falciparum recrudescence from reinfection in Uganda by Alex Mwesigwa, Monica Golumbeanu, Sam Jones, Sara L. Cantoreggi, Benson Musinguzi, Joaniter I. Nankabirwa, Everd Maniple Bikaitwoha, Joan N Kalyango, Charles Karamagi, Mateusz Plucinski, Samuel L. Nsobya, Christian Nsanzabana, Pauline Byakika-Kibwika

“…Discrepancies in recrudescence classification between match-counting and Bayesian algorithms highlight the need for standardized PCR correction practices.…”
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Genetic coupling of enhancer activity and connectivity in gene expression control by Helen Ray-Jones, Chak Kei Sung, Lai Ting Chan, Alexander Haglund, Pavel Artemov, Monica Della Rosa, Luminita Ruje, Frances Burden, Roman Kreuzhuber, Anna Litovskikh, Eline Weyenbergh, Zoï Brusselaers, Vanessa Xue Hui Tan, Mattia Frontini, Chris Wallace, Valeriya Malysheva, Leonardo Bottolo, Elena Vigorito, Mikhail Spivakov

“…Capitalising on these shared effects, we devise a multi-modality Bayesian strategy, identifying 629 “trimodal QTLs” jointly associated with enhancer accessibility, eGene promoter contact, and gene expression. …”
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Squamanitaceae and three new species of Squamanita parasitic on Amanita basidiomes by Jian-Wei Liu, Zai-Wei Ge, Egon Horak, Alfredo Vizzini, Roy E. Halling, Chun-Lei Pan, Zhu L. Yang

“…This study reveals that Cystoderma, Phaeolepiota, Squamanita, Floccularia, and Leucopholiota are a monophyletic clade with strong statistical support in Bayesian analysis and form Squamanitaceae. Phaeolepiota nested within Cystoderma; Squamanita, Leucopholiota, and Floccularia clustered together as two monophyletic subclades; and Squamanita was present as a monophyletic clade with strong statistical support in both Maximum Likelihood and Bayesian analyses. …”
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Phylogenetic analysis and detection of positive selection in the SIRT gene family across vertebrates by Qiuxi Zhou, Xiongtao Yang, Da Li, Jing Li, Ling Peng, Wenwu He

“…Positively selected sites were identified using Bayesian empirical Bayes (BEB) methods. Phylogenetic analysis revealed that the seven SIRT gene family members in vertebrates originated from gene duplication events. …”
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Result merging method based on combined kernels for distributed information retrieval by WANG Xiu-hong1, JU Shi-guang3

“…To enhance the performance of result merging for distributed information retrieval（DIR）,a novel merging method was put forward,which was based on relevance between retrieved results and query.Improved latent semantic kernel（LSK） was combined with analysis of variance（ANOVA） kernel to calculate the relevance.Experimental results showed that the result merging precision of the combination of LSK and ANOVA kernel（CLA） is 16.79%,30.73%,20.37%,24.17%,14.25%,13.50% and 7.53% higher than that of Round-robin,ComMNZ,Bayesian,Borda,SDM,MEM and regression SVM respectively.CLA kernel method has better performance for result merging and is a practical method for result merging in DIR.…”
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treeducken: An R package for simulating cophylogenetic systems by Wade Dismukes, Tracy A. Heath

“…This allows easier performance testing of methods and has potential applications in machine learning (ML) and approximate Bayesian computation (ABC) approaches.…”
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