IEEE

Maximum Probability Theorem: A Framework for Probabilistic Machine Learning

Abstract: We present a theoretical framework of probabilistic learning derived from the maximum probability (MP) theorem shown in this article. In this probabilistic framework, a model is defined as ...
IEEE

Maximum Probability Theorem: A Framework for Probabilistic Machine Learning

Abstract: We present a theoretical framework of probabilistic learning derived from the maximum probability (MP) theorem shown in this article. In this probabilistic framework, a model is defined as ...
GitHub

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

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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 ...
Nature

Bayes' theorem

Observing, gathering knowledge and making predictions are the foundations of the scientific process. The accuracy of our predictions depends on the quality of our present knowledge and accuracy of our ...