Reasoning under uncertainty

Question 1

Reasoning under uncertainty

Answer 1

It involves making decisions or drawing conclusions when the information available is incomplete, ambiguous or subject to change.

Question 2

Bayesian network
* other names (2)
* type of model
* cyclic/acyclic graph
* directed/ undirected graph
* definition
* used in
* based on ____ thm
* represent

Answer 2

Bayesian network
* other names : Belief network, decision network
* probabilistic model
* acyclic graph
* directed graph
* definition: Bayesian network is a probabilistic graphical model which represents a set of variables and their cnditional dependencies using a direct acyclic graph
* used in various tasks like prediction, anomaly, detection, diagnostic, automated insight, reasoning, time series prediction and decision making under uncertainty
* based on bayesian thm
* represent a set of variables as node and their conditional dependencies as edges.

Question 3

edge graph of bayesian network and also explain it

Answer 3

Question 4

Joint probability distribution
(general formula and also with example)

Answer 4