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Per-sample Prediction Intervals for Extreme Learning Machines
Prediction intervals in supervised Machine Learning bound the region where the true outputs of new samples may fall.
Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices
This concept paper highlights a recently opened opportunity for large scale analytical algorithms to be trained directly on edge devices.
Incremental ELMVIS for unsupervised learning
An incremental version of the ELMVIS+ method is proposed in this paper.
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