$\mathrm{.}3.$ Consider the concept learning algorithm FindG, which outputs

a maximally general consistent hypothesis $($e$.$g$.,$ some maximally

general member of the version space$).($a$)$ Give a distribution for

P$($h$)$ and P$($D$1$h$)$ under which FindG is guaranteed to output a MAP

hypothesis. $(6)$ Give a distribution for P$($h$)$ and P$($D$1$h$)$ under which

FindG is not guaranteed to output a MAP $.$hypothesis. $($c$)$ Give a

distribution for P$($h$)$ and P$($D$1$h$)$ under which FindG is guaranteed to

output a ML hypothesis but not a MAP hyp$\mathrm{.}3.$ Consider the concept learning algorithm FindG, which outputs

a maximally general

consistent hypothesis $($e$.$g$.,$ some maximally general member of the

version space$).$

$($a$)$ Give a distribution for P$($h$)$ and P$($D$1$h$)$ under which FindG is

guaranteed to

output a MAP hypothesis.

$(6)$ Give a distribution for P$($h$)$ and P$($D$1$h$)$ under which FindG is

not guaranteed

to output a MAP $.$hypothesis.

$($c$)$ Give a distribution for P$($h$)$ and P$($D$1$h$)$ under which FindG is

guaranteed to

output a ML hypothesis but not a MAP hyp