Presence of considerable noise and missing data points make analysis of mass-spectrometry (MS) based proteomic data a challenging task. The missing values in MS data are caused by the inability of MS ...

From the perspective of object state modeling, visual object tracking can be regarded as a unified process that combines object state estimation and object localization. In this framework, state ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

German researchers have proposed a new model, based on a range of parameters, to influence the LCOE of bifacial PV plants, with a focus on components, land costs, inclination angles, albedo, and ...

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...