Yixian Jiang Integrates Bayesian Networks and Metadata Standards to Advance Intelligent Digital Object Systems

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
JSTOR Daily

Bayesian Optimization of the Estimation of the Age Composition of a Fish Population

To estimate the age distribution of a fish population, a two-phase stratified sample design is proposed. Bayesian methods are employed to determine (a) optimal estimators of the desired population ...
pv magazine International

Bayesian algorithm to reduce LCOE of bifacial projects

Researchers at Germany's Helmholtz-Zentrum Berlin (HZB) have developed an illumination model for the deployment of bifacial solar panels, which they claim can help to reduce the levelized cost of ...
JSTOR Daily

High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference

We propose new nonparametric empirical Bayes methods for high-dimensional classification. Our classifiers are designed to approximate the Bayes classifier in a hypothesized hierarchical model, where ...
insideHPC

AutoML in Practice

The compelling Oct. 15, 2019 presentation below is on behalf of one of my favorite Meetup groups: LA Machine Learning. The talk, “AutoML in Practice,” is by Danny D. Leybzon, a Solutions Architect at ...