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Bayesian Inference of a Non normal Multivariate Partial Linear Regression Model [PDF]
المجلة العراقية للعلوم الاحصائية, 2021 This research includes the Bayesian estimation of the parameters of the multivariate partial linear regression model when the random error follows the matrix-variate generalized modified Bessel distribution and found the statistical test of the model ...
Sarmad Abdulkhaleq Salih, Emad Aboudi
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A Formal Framework for Knowledge Acquisition: Going beyond Machine Learning
Entropy, 2022 Philosophers frequently define knowledge as justified, true belief. We built a mathematical framework that makes it possible to define learning (increasing number of true beliefs) and knowledge of an agent in precise ways, by phrasing belief in terms of ...
Ola Hössjer +2 more
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Bayes' rule, generalized discord, and nonextensive thermodynamics [PDF]
Physical Review A, 2013 Generalized measures of quantum correlations are derived by taking Bayes' rule as the only fundamental principle. The resulting quantifiers satisfy several desirable conditions for a measure of quantum correlations and are shown to admit operational interpretation in terms of the difference in efficiency of quantum and classical demons in allowing for ...
Costa, A. C. S., Angelo, R. M.
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Belief revision generalized: A joint characterization of Bayes' and Jeffrey's rules [PDF]
Journal of Economic Theory, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dietrich, Franz +2 more
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Focal Liver Lesion Detection in Ultrasound Image Using Deep Feature Fusions and Super Resolution
Machine Learning and Knowledge Extraction, 2020 This research presents a machine vision approach to detect lesions in liver ultrasound as well as resolving some issues in ultrasound such as artifacts, speckle noise, and blurring effect. The anisotropic diffusion is modified using the edge preservation
Rafid Mostafiz +3 more
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Identify Lysine Neddylation Sites Using Bi-profile Bayes Feature Extraction via the Chou’s 5-steps Rule and General Pseudo Components [PDF]
Current Genomics, 2020 Introduction: Neddylation is a highly dynamic and reversible post-translatiNeddylation is a highly dynamic and reversible post-translational modification. The abnormality of neddylation has previously been shown to be closely related to some human diseases.
Ju, Zhe, Wang, Shi-Yun
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Bayesian Learning for a Class of Priors with Prescribed Marginals [PDF]
, 2006 We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are motivated by expert interviews that we conducted with modelers in the context ...
Augustin, Thomas +2 more
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Constrained Multi-Sensor Control Using a Multi-Target MSE Bound and a δ-GLMB Filter
Sensors, 2018 The existing multi-sensor control algorithms for multi-target tracking (MTT) within the random finite set (RFS) framework are all based on the distributed processing architecture, so the rule of generalized covariance intersection (GCI) has to be used to
Feng Lian +3 more
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IEEE Access, 2018 Cognitive radio (CR) is a revolutionary paradigm to solve the spectrum scarcity problem in wireless networks. In cognitive radio networks, cooperative spectrum sensing is regarded as a promising approach method to significantly improve the performance of
Jun Wu +4 more
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, 2000 We state a quantum version of Bayes's rule for statistical inference and give a simple general derivation within the framework of generalized measurements.
A. S. Holevo +31 more
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