What is a Bayesian network used for?Select one:a.All of the aboveb.To model and predict the behavior of systemsc.To perform machine learning tasksd.To optimize the use of resources
Question
What is a Bayesian network used for?Select one:a.All of the aboveb.To model and predict the behavior of systemsc.To perform machine learning tasksd.To optimize the use of resources
Solution
A Bayesian network is used for option b. "To model and predict the behavior of systems". It is a type of probabilistic graphical model that uses Bayesian inference for probability computations. Bayesian networks aim to model conditional dependence, and therefore causation, by representing conditional dependence by edges in a directed graph. Through these relationships, one can efficiently conduct inference on the random variables in the graph through the use of factors.
Similar Questions
TipsQuestion textWhat is a key characteristic of Bayesian networks?Select one:a.They use decision trees for predictionb.They are trained on large amounts of datac.They use linear algebra for predictiond.They are based on probability theory
What is the purpose of Bayesian analysis?
A hybrid Bayesian Network consist_____.
Bayesian networks
How the compactness of the bayesian network can be described?ans.All of the mentionedLocally structuredFully structuredPartial structure Previous Marked for Review Save & Finish
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