132 citations · 198 across the 7 of their papers we have counts for
8 papers
Bayesian Screening: Multi-test Bayesian Optimization Applied to in silico Material Screening
James Hook, Calum Hand, Emma Whitfield
We present new multi-test Bayesian optimization models and algorithms for use in large scale material screening applications. Our screening problems are designed around two tests,…
Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems
Allen G Hart, James L Hook, Jonathan H P Dawes
Echo State Networks (ESNs) are a class of single-layer recurrent neural networks with randomly generated internal weights, and a single layer of tuneable outer weights, which are u…
Embedding and Approximation Theorems for Echo State Networks
Allen G Hart, James L Hook, Jonathan H P Dawes
Echo State Networks (ESNs) are a class of single layer recurrent neural networks that have enjoyed recent attention. In this paper we prove that a suitable ESN, trained on a series…
Max-plus Linear Inverse Problems: 2-norm regression and system identification of max-plus linear dynamical systems with Gaussian noise
James Hook
In this paper we present new theory and algorithms for 2-norm regression over the max-plus semiring. As an application we also show how max-plus 2-norm regression can be used in sy…
Latitude: A Model for Mixed Linear-Tropical Matrix Factorization
Sanjar Karaev, James Hook, Pauli Miettinen
Nonnegative matrix factorization (NMF) is one of the most frequently-used matrix factorization models in data analysis. A significant reason to the popularity of NMF is its interpr…
Linear regression over the max-plus semiring: algorithms and applications
James Hook
In this paper we present theory, algorithms and applications for regression over the max- plus semiring. We show how max-plus 2-norm regression can be used to obtain maximum likeli…