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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