Real-time information processing of environmental sensor network data using Bayesian Gaussian processes

ACM Transactions on Sensor Networks

Volumn 9, Issue 1, 2012, Pages

  Osborne, Michael A ^a   Roberts, Stephen J ^a   Rogers, Alex ^b   Jennings, Nicholas R ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Adaptive sampling; Gaussian processes; Information processing; Learning of models from data

Indexed keywords

ADAPTIVE SAMPLING; BAYESIAN GAUSSIAN PROCESS; COMPUTATIONAL SPEED; DISCRETE POINTS; DOMAIN KNOWLEDGE; ENVIRONMENTAL PARAMETER; ENVIRONMENTAL SENSOR NETWORKS; FLEXIBLE MODEL; GAUSSIAN PROCESSES; GENERIC APPROACH; HYPERPARAMETERS; INFORMATION ACQUISITIONS; LEARNING OF MODELS FROM DATA; MONTE CARLO; MULTI-OUTPUT; NETWORK OPERATOR; REAL TIME; SPACE AND TIME; WEATHER SENSORS;

DATA PROCESSING; GAUSSIAN DISTRIBUTION; INFERENCE ENGINES; SENSOR NETWORKS;

GAUSSIAN NOISE (ELECTRONIC);

EID: 84870667283     PISSN: 15504859     EISSN: 15504867     Source Type: Journal    
DOI: 10.1145/2379799.2379800     Document Type: Article

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