Results 1 to 10 of about 335 (69)
Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters
Entropy, 2021 Maximum a posteriori estimation (MAP) with Dirichlet prior has been shown to be effective in improving the parameter learning of Bayesian networks when the available data are insufficient.
Ruohai Di +3 more
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An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
IEEE Access, 2022 This article presents a new image denoising algorithm that uses Gaussian Symmetric Markov random fields based on maximum a posteriori estimation. First, an image denoising model based on Gaussian Symmetric Markov random fields is built, and the image ...
Fusong Xiong +3 more
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Automatic Detection and Tracking of Random Frequency Signals Using Magnitude and Phase Information
IEEE Access, 2022 This paper presents an approach to the problems of detection and frequency estimation of a frequency modulated narrow-band signal in additive complex Gaussian noise.
Dragana Carevic
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Foundation of 2-Symbolic Plithogenic Maximum a Posteriori Estimation [PDF]
Neutrosophic Sets and Systems, 2023 In this paper, we introduce and define for the first time the plithogenic loss function, plithogenic risk function, plithogenic maximum likelihood function, and plithogenic posterior risk function, which form a base to easily define the plithogenic ...
Nizar Altounji +2 more
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Remote Sensing, 2021 Air temperature is an important physical indicator for urban and architectural environments; however, it is difficult to obtain its distributive characteristics by field measurements owing to the limitations of current measuring instruments.
Ryuta Tsurumi +2 more
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Computational modeling of behavioral tasks: An illustration on a classic reinforcement learning paradigm [PDF]
Tutorials in Quantitative Methods for Psychology, 2021 There has been a growing interest among psychologists, psychiatrists and neuroscientists in applying computational modeling to behavioral data to understand animal and human behavior. Such approaches can be daunting for those without experience.
Suthaharan, Praveen +2 more
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IEEE Access, 2020 Over the past few years, dynamic spectrum access has been gaining an increasing attention as a solution to the spectrum scarcity problem. In this paper, a primary user detection technique based on Maximum A Posteriori estimation is proposed for dynamic ...
Ahmed Tohamy +4 more
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Several Kinematic Data Processing Methods for Time-Correlated Observations [PDF]
Journal of Geodesy and Geoinformation Science, 2019 Time correlations always exist in modern geodetic data, and ignoring these time correlations will affect the precision and reliability of solutions. In this paper, several methods for processing kinematic time-correlated observations are studied. Firstly,
Bofeng LI,Zhetao ZHANG
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A Bayesian Inference Based Hybrid Recommender System
IEEE Access, 2020 The large mass of various products/services accessible on the Internet has motivated the development of recommender systems to refine the selection of items aligned with users' expectations.
Armielle Noulapeu Ngaffo +2 more
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Bayesian network parameter learning algorithm based on improved QMAP
Xibei Gongye Daxue Xuebao, 2021 Small data sets make the statistical information in Bayesian network parameter learning inaccurate, which makes it difficult to get accurate Bayesian network parameters based on data.
Di Ruohai +4 more
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