Probability Based Models
As argued in the preceding parts of this book, probability theory offers a theoretically sound model for representing uncertainty and for considering it in reasoning techniques. Just in the last few years a revival of using probability theory in representing uncertainty has taken place. It was given considerable insight into the application of probability theory and pointed out some misconceptions about its applicability. Also, new theoretical results from statistics and probability theory present arguments for the utility of probabilities for reasoning.
KeywordsConditional Probability Bayesian Network Conditional Independence Inference Network Causal Network
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