Inside the cerebellum, unique neurons predict the timing of future events

Humans and other animals constantly make predictions about future events based on previous experiences and their perceptions ...

Ishikawa Diagram Explained: Function, Types, and Applications

Discover how an Ishikawa diagram identifies cause and effect in processes, aiding quality control in manufacturing and ...
IEEE

Bayesian Deep Learning via Expectation Maximization and Turbo Deep Approximate Message Passing

Abstract: Efficient learning and model compression algorithm for deep neural network (DNN) is a key workhorse behind the rise of deep learning (DL). In this work, we propose a message passing-based ...
IEEE

A Variational Bayesian Inference-Based Robust Dissimilarity Analytics Model for Industrial Fault Detection

Abstract: Due to various reasons, outliers, ambient noise and missing data inevitably exist in the industrial processes, and thus the robustness is important when establishing monitoring models. In ...
Nature

Bayesian Network Applications in Environmental Management

Bayesian networks (BNs) constitute a class of probabilistic graphical models that integrate diverse streams of information—ranging from empirical data to expert judgement—to characterise causal ...