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We describe a powerful and generic approach built upon an efficient multi-output Gaussian process that facilitates this information acquisition and processing. Our algorithm allows effective inference even with minimal domain knowledge, and we further introduce a formulation of Bayesian Monte Carlo to permit the principled management of the hyperparameters introduced by our flexible models. We demonstrate how our methods can be applied in cases where the data is delayed, intermittently missing, censored, and\/or correlated. We validate our approach using data collected from three networks of weather sensors and show that it yields better inference performance than both conventional independent Gaussian processes and the Kalman filter. Finally, we show that our formalism efficiently reuses previous computations by following an online update procedure as new data sequentially arrives, and that this results in a four-fold increase in computational speed in the largest cases considered.<\/jats:p>","DOI":"10.1145\/2379799.2379800","type":"journal-article","created":{"date-parts":[[2012,11,29]],"date-time":"2012-11-29T15:02:27Z","timestamp":1354201347000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":50,"title":["Real-time information processing of environmental sensor network data using bayesian gaussian processes"],"prefix":"10.1145","volume":"9","author":[{"given":"Michael A.","family":"Osborne","sequence":"first","affiliation":[{"name":"University of Oxford, Oxford, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen J.","family":"Roberts","sequence":"additional","affiliation":[{"name":"University of Oxford, Oxford, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alex","family":"Rogers","sequence":"additional","affiliation":[{"name":"University of Southampton, Southampton, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas R.","family":"Jennings","sequence":"additional","affiliation":[{"name":"University of Southampton, Southampton, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2012,11,30]]},"reference":[{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the ICT Mobile and Wireless Communications Summit. 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