Bayesian Network is a graphical model that efficiently encodes the joint probability distribution for a large set of variables .
A) True
B) False
Answers
The correct answer for the statement is 1. True.
The Bayesian network is referred as the representation of joint probability distribution of random variables set with the possible mutual relationship.
It is the probabilistic graphical model which represents the variable set and the conditional dependencies through the acyclic graph (directed).
Q. Bayesian Network is a graphical model that efficiently encodes the joint probability distribution for a large set of variables.
(a) True
(b) False
Answer : True
Extra information :
-- Bayesian Network (BN) is a graphical model or structures that efficiently encodes the joint probability distribution for a large set of variables or in other words, it is a type of graphical model which is used to represent the probabilistic relationship or conditional dependencies among a set of random variables.
-- It is also called Belief Networks or Bayes Nets.