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Wireless Sensor Networks (WSN) of Smart dust motes are becoming increasingly effective in environmental monitoring applications. In some applications, data gathered via WSN are only useful when combined with individual mote positions and time-stamps; if the motes are not static, it is important to find methods for their 3D location estimation from available RSSI signal data. Usually termed 'Localisation',...
The learnable evolution model (LEM) was introduced by Michalski in 2000, and involves interleaved bouts of evolution and learning. Here we investigate LEM in (we think) its simplest form, using k-nearest neighbour as the dasialearningpsila mechanism. The essence of the hybridisation is that candidate children are filtered, before evaluation, based on predictions from the learning mechanism (which...
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