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| 2010
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1
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Sequential Bayesian Prediction in the Presence of Changepoints and Faults
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November 2010
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The Computer Journal
, Volume 53 Issue 9
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Publisher: Oxford University Press
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| Bibliometrics: Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 0 |
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We introduce a new sequential algorithm for making robust predictions in the presence of changepoints. Unlike previous approaches, which focus on the problem of detecting and locating changepoints, our algorithm focuses on the problem of making predictions ...
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2
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Active Data Selection for Sensor Networks with Faults and Changepoints
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April 2010
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AINA '10: Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
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Publisher: IEEE Computer Society
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| Bibliometrics: Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 0 |
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We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active data selection is performed with the goal of taking as few observations as necessary ...
Keywords: active data selection, sensor selection, sensor networks, Gaussian processes, time-series prediction, changepoint detection, fault detection, Bayesian methods
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| 2009
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3
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Sequential Bayesian prediction in the presence of changepoints
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June 2009
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ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning
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Publisher: ACM
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Full text available: |
 Pdf
(786.85 KB)
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| Bibliometrics: Downloads (6 Weeks): 5, Downloads (12 Months): 29, Citation Count: 0 |
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We introduce a new sequential algorithm for making robust predictions in the presence of changepoints. Unlike previous approaches, which focus on the problem of detecting and locating changepoints, our algorithm focuses on the problem of making predictions ...
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| 2008
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4
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Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes
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April 2008
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IPSN '08: Proceedings of the 7th international conference on Information processing in sensor networks
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Publisher: IEEE Computer Society
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Full text available: |
PDF
(1.33 MB)
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| Bibliometrics: Downloads (6 Weeks): 4, Downloads (12 Months): 102, Citation Count: 7 |
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In this paper, we describe a novel, computationally efficient algorithm that facilitates the autonomous acquisition of readings from sensor networks (deciding when and which sensor to acquire readings from at any time), and which can, with minimal domain ...
Keywords: sensor network, Gaussian processes, information processing
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