Corpus ID: 211076123

Nested Multiple Instance Learning in Modelling of HTTP network traffic

@article{Pevn2020NestedMI,
  title={Nested Multiple Instance Learning in Modelling of HTTP network traffic},
  author={Tom{\'a}s Pevn{\'y} and Marek Dedi{\vc}},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.04059}
}
  • Tomás Pevný, Marek Dedič
  • Published in ArXiv 2020
  • Computer Science
  • In many interesting cases, the application of machine learning is hindered by data having a complicated structure stimulated by a structured file-formats like JSONs, XMLs, or ProtoBuffers, which is non-trivial to convert to a vector / matrix. Moreover, since the structure frequently carries a semantic meaning, reflecting it in the machine learning model should improve the accuracy but more importantly it facilitates the explanation of decisions and the model. This paper demonstrates on the… CONTINUE READING

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