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  1. vbpp_for_keystroke_dynamics vbpp_for_keystroke_dynamics Public

    Using variational Bayes for point processes method to analyze CMU dataset

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  2. KD-feature-extracted-by-Hawkes-process KD-feature-extracted-by-Hawkes-process Public

    A new method of extracting the features of keystrokes. The Hawkes process based on exponential excitation kernel was used to model the sequence of keystrokes in fixed text, and the intensity functi…

    Jupyter Notebook 2

  3. pohmm pohmm Public

    Forked from vmonaco/pohmm

    Python implementation of the partially observable hidden Markov model

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  4. tick tick Public

    Forked from X-DataInitiative/tick

    Module for statistical learning, with a particular emphasis on time-dependent modelling

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  5. var-hawkes var-hawkes Public

    Forked from trouleau/var-hawkes

    Learning Hawkes Processes from a Handful of Events

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  6. NHPoKD NHPoKD Public

    A model to mine person’s typing patterns of keystroke event sequence using a small amount of data.

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