28 citations · 152 across the 19 of their papers we have counts for
4 papers · 1 filter
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning
Kui Yu, Zhaolong Ling, Lin Liu +2
Local-to-global learning approach plays an essential role in Bayesian network (BN) structure learning. Existing local-to-global learning algorithms first construct the skeleton of…
Any Part of Bayesian Network Structure Learning
Zhaolong Ling, Kui Yu, Hao Wang +2
We study an interesting and challenging problem, learning any part of a Bayesian network (BN) structure. In this challenge, it will be computationally inefficient using existing gl…
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
Zhaolong Ling, Kui Yu, Yiwen Zhang +2
Causal Learner is a toolbox for learning causal structure and Markov blanket (MB) from data. It integrates functions for generating simulated Bayesian network data, a set of state-…
Towards Efficient Local Causal Structure Learning
Shuai Yang, Hao Wang, Kui Yu +2
Local causal structure learning aims to discover and distinguish direct causes (parents) and direct effects (children) of a variable of interest from data. While emerging successes…