A and B are binary $($can take values $0$ and $1),$ while X can take values $0,1,$ and $2.$ We have the following training examples. The missing values are denoted by $?.$ We need to estimate P$($A$),$ P$($X $|$ A $=0),$ P$($X $|$ A $=1),$ P$($B $|$ A $=0)$ and P$($B $|$ A $=1).\backslash$table$[[$#$,A,B,$xWe are doing $($soft$)$ EM on this data. In the initial step, say we initialize unknown probabilities as $-$

P$($X $=0|$ A $=0)=1/3,$ P$($X $=1|$ A $=0)=1/3,$

P$($X $=0|$ A $=1)=1/3,$ P$($X $=1|$ A $=1)=1/3,$

P$($B $=0|$ A $=0)=1/2,$ P$($B $=0|$ A $=1)=1/2$What is the P$(?1=1)+$ P$(?5=2),$ where $?$i$$ indicates $?$ in the ith row, after the $1$st E$-$step. $($round up to $2$ decimal places$)$