Naive Bayes Classification: A probabilistic model that applies Bayes’ theorem assuming conditional independence among features, used extensively for its efficiency and interpretability.

This paper presents a theoretical training sample size estimation for the Bayes classifier based on the estimation of a learning curve for the class-conditional probability density. A statistic ...

Conversely, Bayesian inference-based models excel with reliable uncertainty estimates and explainable predictions. Recently, many in-memory computing ... demonstrates a notable storage density of ...

Faculty, students and alumni of the program were recognized for their contributions. Dean Needy was honored with the Gilbrreth Industrial Engineering Award and alumnus Jen Pazour was named a fellow.

In a nutshell A mammoth ivory boomerang discovered in a Polish cave is likely between 42,290 and 39,280 years old, making it ...

A research team from the Faculty of Biology, Universitas Gadjah Mada (UGM), has discovered seven new species of freshwater ...

New research reveals that some individuals may experience selective difficulty recognizing faces from racial groups different ...

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

The retrospective study evaluated medical records of AKI patients admitted to Tongji Hospital between July 2012 and April ...