6 citations · 6 across the 4 of their papers we have counts for
4 papers
Improvements to Supervised EM Learning of Shared Kernel Models by Feature Space Partitioning
Graham W. Pulford
Expectation maximisation (EM) is usually thought of as an unsupervised learning method for estimating the parameters of a mixture distribution, however it can also be used for supe…
Learning Shared Kernel Models: the Shared Kernel EM algorithm
Graham W. Pulford
Expectation maximisation (EM) is an unsupervised learning method for estimating the parameters of a finite mixture distribution. It works by introducing "hidden" or "latent" variab…
From the Expectation Maximisation Algorithm to Autoencoded Variational Bayes
Graham W. Pulford
Although the expectation maximisation (EM) algorithm was introduced in 1970, it remains somewhat inaccessible to machine learning practitioners due to its obscure notation, terse p…
A Survey of Manoeuvring Target Tracking Methods
Graham W. Pulford
A comprehensive review of the literature on manoeuvring target tracking for both uncluttered and cluttered measurements is presented. Various discrete-time dynamical models includi…