Neural Networks and Fuzzy Systems
Bayesian inference is a statistical method that updates the probability estimate for a hypothesis as more evidence or information becomes available. This approach relies on Bayes' theorem, which provides a mathematical framework for combining prior beliefs with new data to make informed predictions and decisions. By allowing for the incorporation of uncertainty and prior knowledge, Bayesian inference offers a powerful tool for modeling complex phenomena in various fields, including machine learning.
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