Main topics:
- Semantic Tableaux
- Inference in a Kripke frame
- Belief Propagation in Bayesian Networks
- Estimating Bayesian Network based on extracted samples
- Hidden Markov Models (evaluation, learning, decoding - Viterbi Algorithm, Baum–Welch)
-
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DACUS1995/Knowledge-Representation-and-Reasoning-Coursework
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Coursework for the Knowledge Representation and Reasoning course from master program.
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