Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, ...

Objectives To systematically compare the effects of various antithrombotic strategies on prespecified outcomes including 28-day all-cause mortality (primary outcome), major thrombotic events and major ...

BaNDyT (Bayesian Network analisis of molecular Dynamic simulation Trajectories): software package that implements the Bayesian Network Modeling specifically attuned to the MD simulation trajectories ...

1 Department of Psychiatry, E-DA Dachang Hospital, I-Shou University, Kaohsiung, Taiwan 2 Department of Psychiatry, E-DA Hospital, I-Shou University, Kaohsiung, Taiwan 3 Graduate Institute of Clinical ...

Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and ...

bDepartment of Pharmacy, The First Hospital of China Medical University, Shenyang, China cDepartment of Pulmonary and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, ...

Implementation of BANSAC, a new guided sampling process for RANSAC. Previous methods either assume no prior information about the inlier/outlier classification of data points or use some previously ...

Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Canada M5S 3E5 Department of Earth Sciences, University of Toronto, Toronto, Canada M5S 3B1 Department of ...

The mountain goat (Oreamnos americanus) is an iconic wildlife species of western North America that inhabits steep and largely inaccessible terrain in remote areas. They are at risk from human ...