METHOD FOR CLASSIFIER LEARNING FROM A STREAM OF DATA ON A RESOURCE-CONSTRAINED DEVICE

Methods, apparatuses, systems, and computer program products for artificial intelligence and machine learning for resource constrained devices and systems, including for classifier (130) learning from a stream of data. A classifier (130) may include a neural network comprised of a plurality of layer...

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Hauptverfasser: PAU, Danilo Pietro, KUMAR AMBROSE, Prem
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creator PAU, Danilo Pietro
KUMAR AMBROSE, Prem
description Methods, apparatuses, systems, and computer program products for artificial intelligence and machine learning for resource constrained devices and systems, including for classifier (130) learning from a stream of data. A classifier (130) may include a neural network comprised of a plurality of layers (140, 150, 160) with each layer comprised of a plurality of neurons. The neural network may include a hidden layer (150) comprised of a plurality of hidden neurons (152A, 152B, 152C, 152D, 152E, ..., 152N). In various embodiments, the size of the hidden layer (150) may be constrained and the training of a hidden layer (150) included removing (420) one or more hidden neurons from the hidden layer (150) of the classifier (130).
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title METHOD FOR CLASSIFIER LEARNING FROM A STREAM OF DATA ON A RESOURCE-CONSTRAINED DEVICE
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