Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

This GEN Spotlight on RNA Therapeutics brings you three interlinked sessions that feature outstanding researchers exploring various aspects of RNA biology and therapeutics.

(1) Organic Revenue, Adjusted Gross Margin, Adjusted Net Income, Adjusted EBITDA and Adjusted EBITDA Margin are non-GAAP financial measures. See tables below under “Use of Non-GAAP Financial Measures” ...

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...

The G-SPECT acquisition of a dynamic heart phantom simulating the beating left ventricle (BSI) was obtained at the Department of Nuclear Medicine, Center Hospitalier Universitaire Vaudois and ...

Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, United States ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

Abstract: The convergence of expectation-maximization (EM)-based algorithms typically requires continuity of the likelihood function with respect to all the unknown parameters (optimization variables) ...

ABSTRACT: This paper is concerned about studying modeling-based methods in cluster analysis to classify data elements into clusters and thus dealing with time series in view of this classification to ...