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Concept
Probabilistic Graphical Models
Probabilistic Graphical Models
(PGMs) are a rich framework for encoding
probability distributions
over complex domains using graphs to represent the
conditional dependencies
between
random variables
. They combine the strengths of
probability theory
and
graph theory
to provide a compact and
intuitive representation
of joint
probability distributions
, enabling
efficient inference
and
learning in large-scale systems
.
Relevant Fields:
Probability and Statistics 50%
Artificial Intelligence Systems 30%
Computational Mathematics 20%
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