TY  - JOUR 
AU  - Moral Callejón, Serafín
AU  - Cano Utrera, Andrés
AU  - Gómez Olmedo, Manuel
PY  - 2021
UR  - http://hdl.handle.net/10481/70402
AB  - Kullback–Leibler divergence KL(p, q) is the standard measure of error when we have a
true probability distribution p which is approximate with probability distribution q. Its efficient
computation is essential in many tasks, as in approximate...
LA  - eng
PB  - Universidad de Granada
KW  - Probabilistic graphical models
KW  - Machine learning algorithms
KW  - Kullback–Leibler divergence
TI  - Computation of Kullback–Leibler Divergence in Bayesian Networks
DO  - 10.3390/e23091122
ER  -