3.24 ( ) Repeat the previous exercise but now use Bayes theorem in the form p(t) =...
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3.24 ( ) Repeat the previous exercise but now use Bayes’ theorem in the form p(t) = p(t|w, β)p(w, β)
p(w, β|t)
(3.119)
and then substitute for the prior and posterior distributions and the likelihood function in order to derive the result (3.118).
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Related Book For
Pattern Recognition And Machine Learning
ISBN: 9780387310732
1st Edition
Authors: Christopher M Bishop
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