Παρακολούθηση
Michael A Osborne
Michael A Osborne
Professor of Machine Learning, University of Oxford
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα robots.ox.ac.uk - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
The future of employment: How susceptible are jobs to computerisation?
CB Frey, MA Osborne
Technological forecasting and social change 114, 254-280, 2017
170062017
Gaussian processes for time-series modelling
S Roberts, M Osborne, M Ebden, S Reece, N Gibson, S Aigrain
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013
7942013
The Future of skills: Employment in 2030
H Bakhshi, JM Downing, MA Osborne, P Schneider
Pearson and Nesta, 2017
7082017
Gaussian process regression for forecasting battery state of health
RR Richardson, MA Osborne, DA Howey
Journal of Power Sources 357, 209-219, 2017
6652017
A Gaussian process framework for modelling stellar activity signals in radial velocity data
V Rajpaul, S Aigrain, MA Osborne, S Reece, S Roberts
Monthly Notices of the Royal Astronomical Society 452 (3), 2269-2291, 2015
4152015
Gaussian processes for global optimization
MA Osborne, R Garnett, SJ Roberts
3rd International Conference on Learning and Intelligent Optimization (LION3 …, 2009
3672009
Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries
RR Richardson, CR Birkl, MA Osborne, DA Howey
IEEE Transactions on Industrial Informatics 15 (1), 127-138, 2018
3572018
A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy
NP Gibson, S Aigrain, S Roberts, TM Evans, M Osborne, F Pont
Monthly notices of the royal astronomical society 419 (3), 2683-2694, 2012
3482012
Probabilistic numerics and uncertainty in computations
P Hennig, MA Osborne, M Girolami
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
3212015
Technology at work: The future of innovation and employment
CB Frey, M Osborne
Citi GPS, 2015
3102015
Towards real-time information processing of sensor network data using computationally efficient multi-output Gaussian processes
MA Osborne, SJ Roberts, A Rogers, SD Ramchurn, NR Jennings
Proceedings of the 7th international conference on Information processing in …, 2008
2402008
Technology at work v2. 0: The future is not what it used to be
CB Frey, MA Osborne
Citi GPS: Global Perspectives & Solutions, 2016
2372016
On the limitations of representing functions on sets
E Wagstaff, F Fuchs, M Engelcke, I Posner, MA Osborne
International Conference on Machine Learning, 6487-6494, 2019
2312019
Battery health prediction under generalized conditions using a Gaussian process transition model
RR Richardson, MA Osborne, DA Howey
Journal of Energy Storage 23, 320-328, 2019
2242019
Bayesian optimization for sensor set selection
R Garnett, MA Osborne, SJ Roberts
Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010
2212010
Probabilistic integration
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic
Statistical Science 34 (1), 1-22, 2019
217*2019
Bayesian Gaussian Processes for Sequential Prediction, Optimisation and Quadrature
M Osborne
PhD thesis, University of Oxford, 2010
1922010
Creativity vs robots: The creative economy and the future of employment
H Bakhshi, CB Frey, M Osbourne
Nesta, 2015
1642015
GLASSES: Relieving the myopia of Bayesian optimisation
J González, M Osborne, N Lawrence
Artificial Intelligence and Statistics, 790-799, 2016
1512016
Active learning of model evidence using Bayesian quadrature
M Osborne, R Garnett, Z Ghahramani, DK Duvenaud, SJ Roberts, ...
Advances in neural information processing systems 25, 2012
1452012
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