412 citations · 494 across the 12 of their papers we have counts for
4 papers · 1 filter
BCCNet: Bayesian classifier combination neural network
Olga Isupova, Yunpeng Li, Danil Kuzin +3
Machine learning research for developing countries can demonstrate clear sustainable impact by delivering actionable and timely information to in-country government organisations (…
Anomaly Detection and Removal Using Non-Stationary Gaussian Processes
Steven Reece, Roman Garnett, Michael Osborne +1
This paper proposes a novel Gaussian process approach to fault removal in time-series data. Fault removal does not delete the faulty signal data but, instead, massages the fault fr…
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning
Thomas Nickson, Michael A Osborne, Steven Reece +1
We introduce a means of automating machine learning (ML) for big data tasks, by performing scalable stochastic Bayesian optimisation of ML algorithm parameters and hyper-parameters…
Efficient State-Space Inference of Periodic Latent Force Models
Steven Reece, Stephen Roberts, Siddhartha Ghosh +2
Latent force models (LFM) are principled approaches to incorporating solutions to differential equations within non-parametric inference methods. Unfortunately, the development and…