State of the art Bayesian classification approaches typically maintain a posterior distribution over possible classes given available sensor observations (images). Yet, while these approaches fuse all ...

The posterior-probability estimate of the classification error rate of some nonparametric classification rules is studied. The variance of the estimator is shown to have same remarkable ...

To predict the energy yield of residential solar PV fleets based on limited information, Dutch researchers developed a probability-based mathematical model that provides rapid sky view factor (SVF ...

They introduce a systematic approach to produce prior probability distributions of the model parameters based on an actual integrated marine site investigation including geological, geophysical, and ...

The current table schema of Device, Device Service, Device Profile, ProvisionWatcher, and Scheduler are JSON based key/value store. The JSON based key/value store schema increase more disk consumption ...

What this study adds We aimed to evaluate the utility of the EULAR/ACR SLE classification criteria score to predict mortality and hospitalisation and to derive and validate an ominosity model based on ...

Bayesian analysis combines previous information (represented by a mathematical probability distribution, the prior) with information from the study (the likelihood function) to generate an updated ...

Integrating Data Science and Machine Learning to Chemistry Education: Predicting Classification and Boiling Point of Compounds ...

A professor and his doctoral student at The University of Texas at Arlington have published a new model of predicting survival from cancer that they say is 30% more effective than previous models in ...