Inmaculada Pérez-Bernabé

According to our database, Inmaculada Pérez-Bernabé authored at least 6 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions.

Inmaculada Pérez-Bernabé, Ana D. Maldonado, Antonio Salmerón, Thomas D. Nielsen

R J., 2020

2016

Parameter learning in hybrid Bayesian networks using prior knowledge.

Inmaculada Pérez-Bernabé, Antonio Fernández, Rafael Rumí, Antonio Salmerón

Data Min. Knowl. Discov., 2016

2015

Learning Conditional Distributions Using Mixtures of Truncated Basis Functions.

Inmaculada Pérez-Bernabé, Antonio Salmerón, Helge Langseth

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014

Learning mixtures of truncated basis functions from data.

Helge Langseth, Thomas D. Nielsen, Inmaculada Pérez-Bernabé, Antonio Salmerón

Int. J. Approx. Reason., 2014

2013

Incorporating Prior Knowledge when Learning Mixtures of Truncated Basis Functions from Data.

Antonio Fernández, Inmaculada Pérez-Bernabé, Rafael Rumí, Antonio Salmerón

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

On Using the PC Algorithm for Learning Continuous Bayesian Networks: An Experimental Analysis.

Antonio Fernández, Inmaculada Pérez-Bernabé, Antonio Salmerón

Proceedings of the Advances in Artificial Intelligence, 2013