# Curriculum Learning of Bayesian Network Structures

ACML, pp. 269-284, 2015.

EI

Abstract:

I Bayesian Network (BN) . A directed acyclic graph (DAG) where nodes are random variables and directed edges represent probability dependencies among variables I BN Structure Learning . Firstly construct the topology (structure) of the network . Then estimate the parameters (CPDs) given the fixed structure I Curriculum Learning (CL) [Yosh...More

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