2 citations · 2 across the 2 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search
Jorge D. Laborda, Pablo Torrijos, José M. Puerta +1
This article presents MCTS-BN, an adaptation of the Monte Carlo Tree Search (MCTS) algorithm for the structural learning of Bayesian Networks (BNs). Initially designed for game tre…
cs.LG2024★ 2 cited
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks
Jorge D. Laborda, Pablo Torrijos, José M. Puerta +1
Learning Bayesian Networks (BNs) from high-dimensional data is a complex and time-consuming task. Although there are approaches based on horizontal (instances) or vertical (variabl…