Results 41 to 50 of about 688,609 (284)
Data Science JournalSophisticated data-intensive approaches have been widely applied in addressing air pollution problems, with applications ranging from remote sensing quantification of ground-level concentrations of atmospheric pollutants to associating particulate matter
Kassim Mwitondi, Hugo Wai Leung Mak
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Improved Initialization of the EM Algorithm for Mixture Model Parameter Estimation
Mathematics, 2020 A commonly used tool for estimating the parameters of a mixture model is the Expectation−Maximization (EM) algorithm, which is an iterative procedure that can serve as a maximum-likelihood estimator.
Branislav Panić +2 more
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Divergence Family Contribution to Data Evaluation in Blockchain Via Alpha-EM and Log-EM Algorithms
IEEE Access, 2021 This study interrelates three adjacent topics in data evaluation. The first is the establishment of a relationship between Bregman divergence and probabilistic alpha-divergence.
Yasuo Matsuyama
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Color image segmentation using a self-initializing EM algorithm [PDF]
, 2006 This paper presents a new method based on the Expectation-Maximization (EM) algorithm that we apply for color image segmentation. Since this algorithm partitions the data based on an initial set of mixtures, the color segmentation provided by the EM ...
Ilea, Dana E., Whelan, Paul F.
core
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
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Statistical inference for zero-and-one-inflated poisson models
Statistical Theory and Related Fields, 2017 In this paper, a zero-and-one-inflated Poisson (ZOIP) model is studied. The maximum likelihood estimation and the Bayesian estimation of the model parameters are obtained based on data augmentation method.
Yincai Tang, Wenchen Liu, Ancha Xu
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Power of Error Correcting Codes for SFBC-OFDM Classification Over Unknown Channels
IEEE Access, 2022 The development of intelligent radios in wireless applications is mainly driven by the growing need for higher data rates, along with constrained spectrum resources.
Mohamed Marey, Hala Mostafa
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Distributed localization of a RF target in NLOS environments
, 2014 We propose a novel distributed expectation maximization (EM) method for non-cooperative RF device localization using a wireless sensor network. We consider the scenario where few or no sensors receive line-of-sight signals from the target. In the case of
Leng, Mei +4 more
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Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits
G3: Genes, Genomes, Genetics, 2020 Due to the ever-increasing data collected in genomic breeding programs, there is a need for genomic prediction models that can deal better with big data.
Abelardo Montesinos-López +3 more
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