Curriculum Learning of Bayesian Network Structures

ACML, pp. 269-284, 2015.

Cited by: 6|Bibtex|Views9
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

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

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments