Performance Enhancement of Wi-Fi Fingerprinting-Based IPS by Accurate Parameter Estimation of Censored and Dropped Data [PDF]
Radioengineering, 2019 In complex indoor environments, the censoring, dropping, and multi-component problems may present in the observable data. This is due to the attenuation of signals, the unexpected operation of equipments, and the changing surrounding environment ...
T. K. Vu, M. K. Hoang, H. L. Le
doaj
Comparison of the Average Kappa Coefficients of Two Binary Diagnostic Tests with Missing Data
Mathematics, 2021 The average kappa coefficient of a binary diagnostic test is a parameter that measures the average beyond-chance agreement between the diagnostic test and the gold standard.
José Antonio Roldán-Nofuentes +1 more
doaj +1 more source
Unsupervised cryo-EM data clustering through adaptively constrained K-means algorithm
, 2016 In single-particle cryo-electron microscopy (cryo-EM), K-means clustering algorithm is widely used in unsupervised 2D classification of projection images of biological macromolecules.
Mao, Youdong +3 more
core +7 more sources
, 2018 The expectation-maximization (EM) algorithm is a powerful computational technique for finding the maximum likelihood estimates for parametric models when the data are not fully observed.
Chanseok Park +8 more
core +1 more source
The multiset EM algorithm [PDF]
Statistics & Probability Letters, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huang, Weihong, Chen, Yuguo
openaire +2 more sources
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data
Journal of Statistical Software, 2018 The analysis of binary three-way data (i.e., persons who indicate which attributes apply to each of a set of objects) may be of interest in several substantive domains as sensory profiling, marketing research or personality assessment.
Michel Meulders, Philippe De Bruecker
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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