Jorge D. Laborda

According to our database, Jorge D. Laborda authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion.

Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez

Knowl. Based Syst., 2024

Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies.

Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez

Int. J. Approx. Reason., 2024

Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search.

Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2024

2023

A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks.

Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2021

Efficient and accurate structural fusion of Bayesian networks.

José M. Puerta, Juan A. Aledo, José A. Gámez, Jorge D. Laborda

Inf. Fusion, 2021

2019

Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm.

José M. Puerta, Juan A. Aledo, José Antonio Gámez, Jorge D. Laborda

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019