The aim of this project is to develop a model that utilizes Bayesian methods to predict a patient's length of stay (LOS) in the Intensive Care Unit (ICU) using de-identified public in-patient datasets ...

A surprising number of recent Bayesian phylogenetic analyses contain branch-length estimates that are several orders of magnitude longer than corresponding maximum-likelihood estimates. The levels of ...

Abstract: Active learning algorithms select a subset of data for annotation to maximize the model performance on a budget. One such algorithm is Expected Gradient Length, which as the name suggests ...

I'm working on the length-weight relationships provided in the estimate.csv and trying to find more explanations about the parameters . I wonder where I could find more specific reference about the ...

Abstract: We propose a mixed-word-length quantization scheme assisted by Bayesian optimization for fiber nonlinearity compensation (NLC). The experimental results of an 80Gbps 1800-km single channel ...