s popular in US Bayesian network which show the relationships among 3. d-separation: How to determine which variables are independent in a Bayes net? a) Are ( mathrm{A} ) and ( mathrm{B} ) conditionally independent, given ( mathrm{D} ) and ( mathrm{F} ) ? (Same as " ( mathrm{P}(mathrm{A} mid mathrm{BDF})= ) ? ( mathrm{P}(mathrm{A} mid mathrm{DF}) ) " or " ( mathrm{P}(mathrm{B} mid mathrm{ADF})= ) ? ( mathrm{P}(mathrm{B} mid mathrm{DF}) ) ") b) Are A and B marginally independent? (Same as " ( mathrm{P}(mathrm{A} mid mathrm{B})= ) ? ( mathrm{P}(mathrm{A}) ) " or " ( mathrm{P}(mathrm{B} mid mathrm{A})= ) ? ( mathrm{P}(mathrm{B}) ) ") c) Are A and B conditionally independent, given C? d) Are D and E conditionally independent, given C? e) Are D and E marginally independent? f) Are D and E conditionally independent, given A and B?

s popular in US Bayesian netwe which show the relationships amon the intelligence of the student. Draw the 3. d-separation: How to determine which variables are independent in a Bayes net? a) Are A and B conditionally independent, given D and F ? (Same as " P(ABDF)= ? P(ADF) " or " P(BADF)= ? P(BDF)" ) b) Are A and B marginally independent? (Same as " P(AB)= ? P(A) " or " P(BA)= ? P(B) ") c) Are A and B conditionally independent, given C ? d) Are D and E conditionally independent, given C? e) Are D and E marginally independent? f) Are D and E conditionally independent, given A and B? s popular in US Bayesian netwe which show the relationships amon the intelligence of the student. Draw the 3. d-separation: How to determine which variables are independent in a Bayes net? a) Are A and B conditionally independent, given D and F ? (Same as " P(ABDF)= ? P(ADF) " or " P(BADF)= ? P(BDF)" ) b) Are A and B marginally independent? (Same as " P(AB)= ? P(A) " or " P(BA)= ? P(B) ") c) Are A and B conditionally independent, given C ? d) Are D and E conditionally independent, given C? e) Are D and E marginally independent? f) Are D and E conditionally independent, given A and B