Question

Bayesian Network is a graphical model that efficiently encodes the joint probability distribution for a large set of variables is it true or false

Answer 1

Hey there!

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

-- 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.

Answer 2

'Bayesian Network is a graphical model' that efficiently 'encodes the joint probability distribution' for a 'large set of variables' is a True statement.

Explanation:

• 'Bayesian networks' are a kind of 'probabilistic graphical model' that uses 'Bayesian' inference for 'probability' computing.
• A 'Bayesian network' is a depiction of a 'joint probability distribution' of a 'set of random variables' with a 'probable mutual causal relationship'.
• The 'core intention of the approach' is to model the posterior 'conditional probability distribution' of the result (often causal) 'variable(s)' after the 'analysis of new evidence'.

To know more

Bayesian networks allow compact specification of _____________

A. Joint probability distributions

B. Propositional Logic statements

C. Belief

D. Conditional independence

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