In AI, there are numerous sources of uncertainty, including variation in specific data values and the sample of data collected from the domain. Topics include: Uncertain Knowledge and Reasoning, Semantic Interpretation, Object Recognition, Probability Notation, Bayesian Networks, Fuzzy Logic, Hidden Markov Models, & Expert Systems.
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