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Cassiopee Project at Telecom SudParis (2nd year)

With 2 other student from Télecom SudParis, we developed an algorithm for differentiating and accurately estimating the sources of emissions generated by Hidden Markov Models (HMMs) or Gaussian mixtures through the study of scientific articles.

  • Iterative Conditional Estimator (ICE)
  • Forward-Backward Algorithm
  • Simulations and Validation
  • Hyperparameter Tuning

The Final Report is in french though.

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2nd year Project at Telecom SudParis (Cassiopee)

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