For a Bayesian classifier with multinomial class-conditionals with (M) dimensional parameters (mathbf{q}_{c}), compute the posterior Dirichlet for
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For a Bayesian classifier with multinomial class-conditionals with \(M\) dimensional parameters \(\mathbf{q}_{c}\), compute the posterior Dirichlet for class \(c\) when the prior over \(\mathbf{q}_{c}\) is a Dirichlet with constant parameter \(\alpha\) and the observations belonging to class \(c\) are the \(N_{c}\) observations \(\mathbf{x}_{1}, \ldots, \mathbf{x}_{N_{c}}\).
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Related Book For
A First Course In Machine Learning
ISBN: 9781498738484
2nd Edition
Authors: Simon Rogers , Mark Girolam
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