Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
Scientific Research Publishing

Central Force Optimization Applied to the PBM Suite of Antenna Benchmarks ()

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
IEEE

A Novel Parameter-Dependent Inverse Gaussian Distribution Considering Random Effects with Extension to Accelerated Life Test

Abstract: SUMMARY & CONCLUSIONSInverse Gaussian distribution is one of the most important distributions in reliability evaluation. The relevance between parameters is neglected in traditional ...
IEEE

Advanced Brain Tumor Segmentation With a Multiscale CNN and Conditional Random Fields

Abstract: The use of high-precision automatic algorithms for segmenting brain tumors has the potential to improve disease diagnosis, treatment monitoring, and large-scale pathological studies. In this ...
GitHub

Random Matrix Theory: Gaussian Ensembles

In this project, we explore Random Matrix Theory and its unique mathematical physics. We demonstrate the universal statistical behavior of eigenvalues in random matrices. Sampling from 50,000 random ...
GitHub

Deep Neural Network with probabilistic description of damage condition space via Gaussian Mixture Model

This code aims at quantifying the uncertainty of mooring line fault detection predictions using a multivariate Gaussian mixture variational autoencoder. The scripts included in this code encompass ...