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Full Idea
In p(H|E) = p(E|H)p(H)/p(E), the left side is the 'posterior' probability of H given E, p(E|H) is the 'likelihood' of E given H, and the others are the 'priors' of H and E. Moving from right to left is known as 'conditionalization'.
Gist of Idea
Bayes involves 'prior' probabilities, 'likelihood', 'posterior' probability, and 'conditionalising'
Source
Peter Lipton (Inference to the Best Explanation (2nd) [2004], 07 'The Bayesian')
Book Ref
Lipton,Peter: 'Inference to the Best Explanation (2nd ed)' [Routledge 2004], p.103