This project applies the Expectation-Maximization (EM) algorithm to estimate the relative abundances of RNA isoforms based on RNA-seq read data. The task involved modeling how sequencing reads map to ...

Abstract: The conventional method for estimation of the parameters of Hidden Markov Model (HMM) based acoustic modeling of speech signals uses the Expectation- Maximization (EM) algorithm. But the EM ...

Abstract: Brain tissue segmentation performs a vital function in neuroimaging analysis, support, and monitoring of neurological diseases such as Alzheimer's disease, Parkinson's disease, and brain ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 71, No. 3 (Jun., 2009), pp. 593-613 (21 pages) We propose a generic on-line (also sometimes called adaptive or ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

We derive source parameter estimation algorithms based on maximum likelihood estimation (MLE) for a system of non-directional (scintillator) and directional (CZT based Compton) radiation detectors.

The resolution of a light microscope was once thought to be limited to about half the wavelength of light 1: light waves from sources separated by less than that distance form overlapping blurs when ...

Driven by a Vision to Deliver Smarter, Longer-Lasting Energy Solutions, Flux Power Integrates AI and Software Intelligence to Meet the Growing Demand for Adaptive, Data-Driven Electrification VISTA, ...