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This research is about utilizing and optimizing two Hyper-Dimensional Computing models (OnlineHD and NeuralHD), which are trained on a huge dataset from Microsoft Malware Classification Challenge (BIG 2015). The average training accuracy, average testing accuracy, training time latency, inference time latency are compared with SVM and MLP models.

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