Research Path: Stochastic Automaton (2018-2019)

🔗 Project
SessionReadingIdea / Concept
1🔗 Reading 1Basics
     → Probability
     → Random variable
     Markov chain discrete time order 1
     → Theorem ergodic
     → Absorption
     → Study of a chain
2🔗 Reading 2Hidden Markov Chain
     → Definitions
     → Backward-Forward
     → Viterbi
     → Baum-Welch
     → sklearn
3🔗 Reading 3Probabilistic automaton
     Automaton probabilistic
     → Frequency automaton
     → HMMT
     → Merge & Fold
     → Forbidden words
     → 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
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