k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks

27 Apr 2018 Yiming Xu Diego Klabjan

k-Nearest Neighbors is one of the most fundamental but effective classification models. In this paper, we propose two families of models built on a sequence to sequence model and a memory network model to mimic the k-Nearest Neighbors model, which generate a sequence of labels, a sequence of out-of-sample feature vectors and a final label for classification, and thus they could also function as oversamplers... (read more)

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Memory Network
Working Memory Models