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 ...

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 ...

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Shekhawati Engineering College, Rajasthan Technical University, Kota, India. The probability generating function approach plays a vital role in the study of queueing problems as it is crucially useful ...

This article discusses the use of Bayes' Theorem in medical diagnosis with a view to examining the epistemological problems of interpreting the concept of pre-test probability value. It is generally ...