mccormick.northwestern.edu

MLDS 490: Bayesian Methods for Inference and Decision Making

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...
EurekAlert!

Large language models: a new frontier in reliability systems engineering

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...
Harvard Business School

User Adaptive Web Morphing: An Implementation of a Web-based Bayesian Inference Engine with Gittins Index: Master of Engineering Thesis

Citation Lee, Clarence. "User Adaptive Web Morphing: An Implementation of a Web-based Bayesian Inference Engine with Gittins Index: Master of Engineering Thesis." Massachusetts Institute of Technology ...
JSTOR Daily

Some Bayesian Inferences for a Changing Linear Model

This paper is a generalization of earlier studies by Ferreira (1975) and Holbert and Broemeling (1977), who used improper prior distributions in order to make informal Bayesian inferences for the ...
Nature

A novel Bayesian network inference algorithm for integrative analysis of heterogeneous deep sequencing data

Next Generation Sequencing (NGS) technology has enabled sequencing millions of short DNA tags in a single pass. NGS-based techniques such as ChIP-Seq/BS-Seq (Chromatin Immunoprecipitation/Bisulfite ...
Semiconductor Engineering

Memory Devices-Based Bayesian Neural Networks For Edge AI

A new technical paper titled “Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks” was published by researchers at Université Grenoble Alpes, CEA, ...