A Bayesian Random Split to Build Ensembles of Classification Trees

A forward–backward Monte Carlo method for solving influence diagrams

A memory efficient semi-Naive Bayes classifier with grouping of cases

A method for integrating expert knowledge when learning Bayesian networks from data

artículo científico publicado en 2011

An Extended Approach to Learning Recursive Probability Trees from Data

An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data

Approximate inference in Bayesian networks using binary probability trees

Binary Probability Trees for Bayesian Networks Inference

Combining gene expression data and prior knowledge for inferring gene regulatory networks via Bayesian networks using structural restrictions

scientific article published on 01 May 2019

Evaluating interval-valued influence diagrams

scholarly article by Rafael Cabañas et al published January 2017 in International Journal of Approximate Reasoning

Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks

Importance sampling in Bayesian networks using probability trees

article

Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams

scholarly article by Rafael Cabañas et al published March 2016 in International Journal of Approximate Reasoning

Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations

Lazy evaluation in penniless propagation over join trees

Learning recursive probability trees from probabilistic potentials

article

Learning with Bayesian networks and probability trees to approximate a joint distribution

Locally Averaged Bayesian Dirichlet Metrics

Novel strategies to approximate probability trees in penniless propagation

Reasoning with imprecise probabilities

Recursive Probability Trees for Bayesian Networks

Special Issue on PGM-2012

scholarly article by Andrés Cano et al published June 2014 in International Journal of Approximate Reasoning

Using probability trees to compute marginals with imprecise probabilities

Variable Elimination for Interval-Valued Influence Diagrams