ðŸ”— Project   


Session  Reading  Idea / Concept 
1  ðŸ”— Reading 1  Basics 
â†’ Probability 
â†’ Random variable 
â†’ Markov chain discrete time order 1 
â†’ Theorem ergodic 
â†’ Absorption 
â†’ Study of a chain 
2  ðŸ”— Reading 2  Hidden Markov Chain 
â†’ Definitions 
â†’ BackwardForward 
â†’ Viterbi 
â†’ BaumWelch 
â†’ sklearn 
3  ðŸ”— Reading 3  Probabilistic automaton 
â†’ Automaton probabilistic 
â†’ Frequency automaton 
â†’ HMMT 
â†’ Merge & Fold 
â†’ Forbidden words 
â†’ ALERGIA 
  

REFERENCES 
Introduction to Algorithms: Cormen, T and Leiserson, C 
The Algorithm Design Manual: Steven S. Skiena 
Grammatical Inference: Learning Automata and Grammars: C. de la Higuera 