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 learning from a stream of data. A classifier may include a neural network comprised of a plurality of layers with each...

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Bibliographische Detailangaben
Hauptverfasser: Kumar Ambrose, Prem, Pau, Danilo Pietro
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Methods, apparatuses, systems, and computer program products for artificial intelligence and machine learning for resource constrained devices and systems, including for classifier learning from a stream of data. A classifier may include a neural network comprised of a plurality of layers with each layer comprised of a plurality of neurons. The neural network may include a hidden layer comprised of a plurality of hidden neurons. In various embodiments, the size of the hidden layer may be constrained and the training of a hidden layer included removing one or more hidden neurons from the hidden layer.