TY  - GEN 
AU  - Masegosa, Andrés R.
AU  - Gómez Olmedo, Manuel
PY  - 2025
UR  - https://hdl.handle.net/10481/102707
AB  - This study presents a novel variational framework for structural learning in Bayesian networks
(BNs), addressing the key limitation of existing Bayesian methods: their lack of scalability to large
graphs with many variables. Traditional approaches,...
LA  - eng
PB  - IEEE
KW  - Bayesian networks
KW  - probabilistic graphical models
KW  - structural learning
TI  - Toward Variational Structural Learning of Bayesian Networks
DO  - 10.1109/ACCESS.2025.3533878
ER  -