This research paper discusses many risk factors associated with the disease and presents the prediction models of coronary heart disease using supervised machine learning algorithms, namely Gaussian ...

The model presented here is a multi-model design that uses vector machines, gradient boosting machines, random forests, decision trees, and naive non-Bayesian machine learning techniques to worsen ...

random-forest logistic-regression decision-trees regression-models naive-bayes-algorithm svm-model classification-algorithm gradient-boosting knn-algorithm svm-kernel adaboost-algorithm mlalgorithms ...

Algorithm streamlines vascular system design for 3D printed hearts by Laura Castañón, Stanford University edited by Robert Egan Editors' notes ...

IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. Recruit the best application support engineer for installing, implementing, and maintaining ...

This repo contains the config files and GPflow code which accompanies the manuscript: "Targeted materials discovery using Bayesian Algorithm Execution".

1. Introduction The pattern-based Bayesian classification method for data streams, which utilizes the interrelationships between items in transactions to calculate Bayesian joint probabilities, is an ...