Question: 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
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 \(\mathbf{x}_{1}, \ldots, \mathbf{x}_{N_{c}}\).
Step by Step Solution
3.31 Rating (145 Votes )
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
