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 ...
The Mining Journal

The case for Bayesian Learning in mining

Bayesian Learning is becoming more feasible and attracting greater interest in mining. But adopting it also comes with some challenges. For one thing, this is a highly specialised branch of statistics ...
JSTOR Daily

Bayesian Variable Selection for High Dimensional Generalized Linear Models: Convergence Rates of the Fitted Densities

Bayesian variable selection has gained much empirical success recently in a variety of applications when the number K of explanatory variables $(x_{1},\ldots ,x_{K})$ is possibly much larger than the ...
JSTOR Daily

A hierarchical Bayesian model for improving short-term forecasting of hospital demand by including meteorological information

This is a preview. Log in through your library . Abstract The effect of weather on health has been widely researched, and the ability to forecast meteorological events can offer valuable insights into ...