Abstract: Many statistic based machine learning methods depend on the estimation of probability density function from observations. Non-parametric density estimation algorithms based on minimizing ...

For dynamic optical path provisioning in optical networks, real-time path design based on fast quality-of-transmission (QoT) estimation is highly desirable. We propose an electric field feature ...

This project studies how a real-world variable behaves after applying a non-linear transformation and how its probability density function (PDF) can be learned directly from data. The dataset used is ...

With XRP currently in a massive sell-off that has seen the asset face the threat of dropping below the $1.50 support level, insights from an artificial intelligence (AI) model suggest that the token ...

The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...

dHEAL Global Research Centre, Health Research Institute, Faculty of Health, University of Canberra, Canberra, ACT, Australia eNational Centre for Epidemiology and Population Health, Australian ...