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This paper presents a distributed support vector regression (SV R) algorithm for sensor networks. The idea behind this algorithm is to make use of the structure similarity between sensor networks and SV Rs with 2D input data in order to implement SV R in a distributed way. During training stage, each sensor node provides its 2D coordinates as an input pattern and a sensory data as an output to the...
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