Transfer learning with partial related "instance-feature" knowledge
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.029
Abstract: Abstract Transfer learning, which applies the knowledge from related but different source domains to improve the learning of the target domains, has attracted much attention in recent years. Lots of transfer learning methods have been… read more here.
Keywords: feature knowledge; source; instance; transfer ... See more keywords
A CNN-RBPNN Model With Feature Knowledge Embedding and its Application to Time-Varying Signal Classification
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DOI: 10.1109/access.2020.3000798
Abstract: A novel technique, combining the feature extraction mechanisms of a convolutional neural network (CNN) with the classification method of a radial basis probability neural network (RBPNN), is proposed for small sample set modeling and feature… read more here.
Keywords: rbpnn; cnn rbpnn; feature knowledge; feature ... See more keywords