University of Reading

∙ Reading , United Kingdom ∙ 0 followers

Discover the University of Reading – a global university that enjoys a world-class reputation for teaching, research and enterprise.

Enabling Un-/Semi-Supervised Machine Learning for MDSE of the Real-World CPS/IoT Applications

In this paper, we propose a novel approach to support domain-specific Mo...
07/06/2021 ∙ by Armin Moin, et al. ∙ 20 ∙ share

read it
Determining the Veracity of Rumours on Twitter

While social networks can provide an ideal platform for up-to-date infor...
11/19/2016 ∙ by Georgios Giasemidis, et al. ∙ 0 ∙ share

read it
In the mood: the dynamics of collective sentiments on Twitter

We study the relationship between the sentiment levels of Twitter users ...
04/11/2016 ∙ by Nathaniel Charlton, et al. ∙ 0 ∙ share

read it
l1-norm Penalized Orthogonal Forward Regression

A l1-norm penalized orthogonal forward regression (l1-POFR) algorithm is...
09/04/2015 ∙ by Xia Hong, et al. ∙ 0 ∙ share

read it
Bayesian model comparison with un-normalised likelihoods

Models for which the likelihood function can be evaluated only up to a p...
04/01/2015 ∙ by Richard G. Everitt, et al. ∙ 0 ∙ share

read it
Lazier ABC

ABC algorithms involve a large number of simulations from the model of i...
01/21/2015 ∙ by Dennis Prangle, et al. ∙ 0 ∙ share

read it
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

Tensors or multiarray data are generalizations of matrices. Tensor clust...
04/07/2015 ∙ by Yanfeng Sun, et al. ∙ 0 ∙ share

read it
Particle filters for applications in geosciences

Particle filters contain the promise of fully nonlinear data assimilatio...
07/27/2018 ∙ by Peter Jan van Leeuwen, et al. ∙ 0 ∙ share

read it
LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models

This paper describes LFRic: the new weather and climate modelling system...
09/19/2018 ∙ by S. V. Adams, et al. ∙ 0 ∙ share

read it
Perturbation Bounds for Monte Carlo within Metropolis via Restricted Approximations

The Monte Carlo within Metropolis (MCwM) algorithm, interpreted as a per...
09/25/2018 ∙ by Felipe Medina-Aguayo, et al. ∙ 0 ∙ share

read it
Precision of the ENDGame: Mixed-precision arithmetic in the iterative solver of the Unified Model

The Met Office's weather and climate simulation code the Unified Model i...
11/09/2018 ∙ by Christopher M Maynard, et al. ∙ 0 ∙ share

read it
Modelling the Demand and Uncertainty of Low Voltage Networks and the Effect of non-Domestic Consumers

The increasing use and spread of low carbon technologies are expected to...
01/24/2019 ∙ by Georgios Giasemidis, et al. ∙ 0 ∙ share

read it
Sparse Least Squares Low Rank Kernel Machines

A general framework of least squares support vector machine with low ran...
01/29/2019 ∙ by Manjing Fang, et al. ∙ 0 ∙ share

read it
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter

Particle Markov chain Monte Carlo (pMCMC) is now a popular method for pe...
06/05/2019 ∙ by Christopher Drovandi, et al. ∙ 0 ∙ share

read it
Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE

In this paper, we describe how we have used a combination of the LASSi t...
06/10/2019 ∙ by Andrew Turner, et al. ∙ 0 ∙ share

read it
Residual estimates for post-processors in elliptic problems

In this work we examine a posteriori error control for post-processed ap...
06/11/2019 ∙ by Andreas Dedner, et al. ∙ 0 ∙ share

read it
Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation

We consider the large-sparse symmetric linear systems of equations that ...
08/21/2019 ∙ by Ieva Daužickaitė, et al. ∙ 0 ∙ share

read it
Coupling Matrix Manifolds and Their Applications in Optimal Transport

Optimal transport (OT) is a powerful tool for measuring the distance bet...
11/15/2019 ∙ by Dai Shi, et al. ∙ 0 ∙ share

read it
Lessons from reinforcement learning for biological representations of space

Neuroscientists postulate 3D representations in the brain in a variety o...
12/13/2019 ∙ by Alex Muryy, et al. ∙ 0 ∙ share

read it
Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning

The reconstruction from observations of high-dimensional chaotic dynamic...
01/17/2020 ∙ by Marc Bocquet, et al. ∙ 0 ∙ share

read it
MCMC for Bayesian uncertainty quantification from time-series data

Many problems in science and engineering require uncertainty quantificat...
05/28/2020 ∙ by Philip Maybank, et al. ∙ 0 ∙ share

read it
Reconstructing regime-dependent causal relationships from observational time series

Inferring causal relations from observational time series data is a key ...
07/01/2020 ∙ by Elena Saggioro, et al. ∙ 0 ∙ share

read it
A Model-Driven Engineering Approach to Machine Learning and Software Modeling

Models are used in both the Software Engineering (SE) and the Artificial...
07/06/2021 ∙ by Armin Moin, et al. ∙ 0 ∙ share

read it
ML-Quadrat DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services

In this paper, we present the novel early tool prototype of ML-Quadrat, ...
07/06/2021 ∙ by Armin Moin, et al. ∙ 0 ∙ share

read it
MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence

Over the past decade, Artificial Intelligence (AI) has provided enormous...
07/14/2021 ∙ by Armin Moin, et al. ∙ 0 ∙ share

read it
A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors

Sit-to-stand transitions are an important part of activities of daily li...
07/14/2021 ∙ by Maitreyee Wairagkar, et al. ∙ 0 ∙ share

read it
Distributed Representations of Atoms and Materials for Machine Learning

The use of machine learning is becoming increasingly common in computati...
07/30/2021 ∙ by Luis M. Antunes, et al. ∙ 0 ∙ share

read it
Efficient computation of matrix-vector products with full observation weighting matrices in data assimilation

Recent studies have demonstrated improved skill in numerical weather pre...
09/05/2021 ∙ by Guannan Hu, et al. ∙ 0 ∙ share

read it

University of Reading

Featured Researchers