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 ...
Nature

Learning complex dependency structure of gene regulatory networks from high dimensional microarray data with Gaussian Bayesian networks

The reconstruction of Gene Regulatory Networks (GRNs) of gene expression data is an open problem and has attracted great deal of interest for decades. GRNs model interaction structure of genes in a ...
Nature

High precision implicit function learning for forecasting supercapacitor state of health based on Gaussian process regression

State of health (SOH) prediction of supercapacitors aims to provide reliable lifetime control and avoid system failure. Gaussian process regression (GPR) has emerged for SOH prediction because of its ...
Risk

Machine learning hedge strategy with deep Gaussian process regression

When applying machine learning to trading strategy, two inevitable practical issues are achieving interpretable results and securing robustness to market changes. To overcome these challenges, ...