IEEE

Fast Variational Block-Sparse Bayesian Learning

Abstract: We propose a variational Bayesian (VB) implementation of block-sparse Bayesian learning (BSBL) to compute proxy probability density functions (PDFs) that approximate the posterior PDFs of ...
IEEE

Correlated Sparse Bayesian Learning for STAP: Algorithm and Dictionary

Abstract: Space-time adaptive processing (STAP) is a key technique for suppressing clutter. We develop a unified correlated sparse Bayesian learning (CSBL) framework to improve clutter suppression in ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
GitHub

sparse-bayesian-learning

Add a description, image, and links to the sparse-bayesian-learning topic page so that developers can more easily learn about it.
GitHub

sparse-bayesian-learning

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian ...
Law

Bayesian One Year On: The Superyacht Disaster That Has Sparked Multiple Lawsuits

Bayesian One Year On: The Superyacht Disaster That Has Sparked Multiple Lawsuits One year on, and questions around the tragedy are no closer to being answered, neither is who could be liable—Law.com ...
Phys.org

Gaussian processes provide a new path toward quantum machine learning

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...