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

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, ...
Nature

Hybrid local-global representation learning with stochastic Gaussian classification for underwater acoustic target recognition

Underwater acoustic target recognition is critical for a broad spectrum of marine applications, yet its performance is often hindered by environmental variability, non-stationary propagation effects, ...