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Bayesian Networks

A statistical model that represents a set of variables and their conditional dependencies, often used in decision-making processes.

Implications

Graphical models that represent the probabilistic relationships among a set of variables, used for decision-making and predicting outcomes in complex systems.

Example

Example: A healthcare provider uses Bayesian networks to model the relationships between symptoms and diseases, improving diagnostic accuracy.

Related Terms

Compared to neural networks, which are often used for more complex, non-linear problems, Bayesian networks are interpretable and focused on probabilistic relationships.

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COUNTRIES COVERED

Japan

South Korea

China

Taiwan

Vietnam

Thailand

Indonesia

Malaysia

Singapore

Australia

Philippines

Cambodia

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