24 citations · 147 across the 26 of their papers we have counts for
27 papers
Non-Myopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation
Marcel Hernandez, Angel Garcia-Fernandez, Simon Maskell
This paper is concerned with sensor management for target search and track using the generalised optimal subpattern assignment (GOSPA) metric. Utilising the GOSPA metric to predict…
Bayesian Decision Trees Inspired from Evolutionary Algorithms
Efthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis +1
Bayesian Decision Trees (DTs) are generally considered a more advanced and accurate model than a regular Decision Tree (DT) because they can handle complex and uncertain data. Exis…
Bayesian Estimation for Bell State Rotations
Luke Anastassiou, Jason F. Ralph, Simon Maskell +1
This paper explores the effect of three-dimensional rotations on two-qubit Bell states and proposes a Bayesian method for the estimation of the parameters of the rotation. We use a…
Parallel Approaches to Accelerate Bayesian Decision Trees
Efthyvoulos Drousiotis, Paul G. Spirakis, Simon Maskell
Markov Chain Monte Carlo (MCMC) is a well-established family of algorithms primarily used in Bayesian statistics to sample from a target distribution when direct sampling is challe…
Adaptive Bayesian Beamforming for Imaging by Marginalizing the Speed of Sound
Kyurae Kim, Simon Maskell, Jason F. Ralph
Imaging methods based on array signal processing often require a fixed propagation speed of the medium, or speed of sound (SoS) for methods based on acoustic signals. The resolutio…
Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal
Conor Rosato, John Harris, Jasmina Panovska-Griffiths +1
State-space models have been widely used to model the dynamics of communicable diseases in populations of interest by fitting to time-series data. Particle filters have enabled the…