47 citations · 294 across the 31 of their papers we have counts for
3 papers · 2 filters
A Bayesian Filtering Algorithm for Gaussian Mixture Models
Adrian G. Wills, Johannes Hendriks, Christopher Renton +1
A Bayesian filtering algorithm is developed for a class of state-space systems that can be modelled via Gaussian mixtures. In general, the exact solution to this filtering problem…
On the construction of probabilistic Newton-type algorithms
Adrian G. Wills, Thomas B. Schön
It has recently been shown that many of the existing quasi-Newton algorithms can be formulated as learning algorithms, capable of learning local models of the cost functions. Impor…
Linearly constrained Gaussian processes
Carl Jidling, Niklas Wahlström, Adrian Wills +1
We consider a modification of the covariance function in Gaussian processes to correctly account for known linear constraints. By modelling the target function as a transformation…