GitHub22d
bayesian-data-analysis
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
IEEE26d
An Ensemble Bayesian Dynamic Linear Model for Human Activity Recognition
In this work, we investigate the application of Bayesian dynamic linear models (BDLMs) to the online classification of time-series data of human activity acquired from IMUs. BDLMs are promising in HAR ...
jmg.bmj28d
Bayesian approach to determining penetrance of pathogenic SDH variants
Background Until recently, determining penetrance required large observational cohort studies. Data from the Exome Aggregate Consortium (ExAC) allows a Bayesian approach to calculate penetrance, in ...
C&EN29d
Correlation Models of Three Machine Learning Types for Carbon Dioxide/Toluene and Carbon Dioxide/Methanol Binary Systems
Department of Industrial Chemistry, Faculty of Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan ...
C&EN1mon
Simultaneous Improvement of Multiple Electrical Characteristics in Ultrathin a-IGZO TFTs Using Machine Learning Optimization
Department of Chemical and Biological Engineering, and Institute of Chemical Processes, College of Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea ...
Trinity College%2c Dublin4y
Student Learning Development
New to Trinity? Find out how Student Learning Development can help you succeed this term. Student Learning Development supports Trinity students reach their academic potential. We offer workshops, ...