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09/05/2021
Learning with Holographic Reduced Representations
Holographic Reduced Representations (HRR) are a method for performing sy...
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12/17/2020
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
Recent works within machine learning have been tackling inputs of ever-i...
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12/30/2019
A New Burrows Wheeler Transform Markov Distance
Prior work inspired by compression algorithms has described how the Burr...
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08/01/2019
KiloGrams: Very Large N-Grams for Malware Classification
N-grams have been a common tool for information retrieval and machine le...
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06/15/2018
Non-Negative Networks Against Adversarial Attacks
Adversarial attacks against Neural Networks are a problem of considerabl...
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06/12/2018
