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An Intrusion Detection Model Based on Deep Belief Network

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Outgoing claims: the papers this work cites, builds on, or argues with.

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A Practical Guide to Training Restricted Boltzmann Machines

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Intrusion detection by machine learning: A review

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Learning representations by back-propagating errors

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Feature selection and intrusion classification in NSL-KDD cup 99 dataset employing SVMs

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Formulations of Support Vector Machines: A Note from an Optimization Point of View

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Training Products of Experts by Minimizing Contrastive Divergence

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A Fast Learning Algorithm for Deep Belief Nets

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Artificial Neural Network based Intrusion Detection System: A Survey

What points at this work

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Network Intrusion Detection Based on Deep Learning

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