GitHub

Releases: ProfKelley/Addition-Theorem-of-Probability-for-Independent-Events

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IEEE

Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem

Abstract: Maximum Probability Framework, powered by Maximum Probability Theorem, is a recent theoretical development in artificial intelligence, aiming to formally define probabilistic models, guiding ...
IEEE

Maximum Probability Theorem: A Framework for Probabilistic Machine Learning

Impact Statement: The choice of prior distribution over the parameters of probabilistic machine learning models determines the regularization of learning algorithms in the Bayesian perspective. The ...
Nature

Statistics: Known unknowns

Bayes' theorem of probability was proposed by English mathematician and clergyman Thomas Bayes in the 1740s, and rediscovered in the 1770s by Pierre Simon Laplace, a French mathematician. It states ...
Scientific American

What is Bayes's theorem, and how can it be used to assign probabilities to questions such as the existence of God? What scientific value does it have?

Chris Wiggins, an associate professor of applied mathematics at Columbia University, offers this explanation. A patient goes to see a doctor. The doctor performs a test with 99 percent ...