Q. How many component does Bayesian network have?

View solution

Q. The Bayesian network graph does not contain any cyclic graph. Hence, it is known as a

View solution

Q. In a Bayesian network variable is?

View solution

Q. If we have variables x1, x2, x3,....., xn, then the probabilities of a different combination of x1, x2, x3.. xn, are known as?

View solution

Q. The nodes and links form the structure of the Bayesian network, and we call this the ?

View solution

Q. Which of the following are used for modeling times series and sequences?

View solution

Q. How many terms are required for building a bayes model?

View solution

Q. What does the bayesian network provides?

View solution

Q. ____________ is the process of calculating a probability distribution of interest e.g. P(A | B=True), or P(A,B|C, D=True).

View solution

Q. The Distributive law simply means that if we want to marginalize out the variable A we can perform the calculations on the subset of distributions that contain A.

View solution

Q. Bayesian networks are a factorized representation of the full joint.

View solution

Q. What is the consequence between a node and its predecessors while creating bayesian network?

View solution

Q. Which condition is used to influence a variable directly by all the others?

View solution

Q. To which does the local structure is associated?

View solution

Q. When we query a node in a Bayesian network, the result is often referred to as the marginal.

View solution