Site icon Complex systems and AI

Research Path: Stochastic Automaton (2018-2019)

🔗 Project
Session Reading Idea / Concept
1 🔗 Reading 1 Basics
     → Probability
     → Random variable
     → Markov chain discrete time order 1
     → Theorem ergodic
     → Absorption
     → Study of a chain
2 🔗 Reading 2 Hidden Markov Chain
     → Definitions
     → Backward-Forward
     → Viterbi
     → Baum-Welch
     → sklearn
3 🔗 Reading 3 Probabilistic 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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