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    [CS 298 Proposal]

    [CS 298 Project Report-PDF]

    [CS 298 Slides-PDF]

Deliverable 2

Description:

This deliverable is implementation of Hidden Markov Model (HMM) from Prof. Mark Stamps paper on HMM. The problem is divided into parts:

  1. To read A, B and Pi datasets and prepare the datasets
  2. To calculate Alpha pass
  3. To calculate Beta pass
  4. To calculate gamma and di gamma
  5. To update A, B and Pi matrices with calculated probabilities

Deliverables: