eLife

Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes

A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.
Tech Xplore

Researchers develop new algorithms for the efficient design of motorcycles in the digital environment

Researchers at Universidad Carlos III de Madrid (UC3M) have developed a set of innovative methods and algorithms that improve ...
GitHub

General and weighted naive Bayes classifiers

Naive Bayes is a widely used classification algorithm known for its simplicity and efficiency. This package takes naive Bayes to a higher level by providing more flexible and weighted variants, making ...
IEEE

Modeling Small-Signal Stability Constraints in Optimal Power Flow Using a Bayesian Optimization Framework

Abstract: This paper presents a Bayesian optimization-based framework for incorporating small-signal stability constraints into the optimal power flow (OPF) problem. First, a mathematical optimization ...
IEEE

Bayesian Optimal Latent Projection for Noisy Image Restoration

Abstract: In recent years, image restoration using large-scale la-tent diffusion generative models (DGM) has attracted in-creasing attention and achieved significant progress. Most of these latent DGM ...