3 citations · 10 across the 13 of their papers we have counts for
4 papers · 1 filter
Causal Structure Learning by Using Intersection of Markov Blankets
Yiran Dong, Chuanhou Gao
In this paper, we introduce a novel causal structure learning algorithm called Endogenous and Exogenous Markov Blankets Intersection (EEMBI), which combines the properties of Bayes…
Gaussian mixture modeling of nodes in Bayesian network according to maximal parental cliques
Yiran Dong, Chuanhou Gao
This paper uses Gaussian mixture model instead of linear Gaussian model to fit the distribution of every node in Bayesian network. We will explain why and how we use Gaussian mixtu…
Random Intersection Chains
Qiuqiang Lin, Chuanhou Gao
Interactions between several features sometimes play an important role in prediction tasks. But taking all the interactions into consideration will lead to an extremely heavy compu…
Knowledge Integrated Classifier Design Based on Utility Optimization
Shaohan Chen, Chuanhou Gao
This paper proposes a systematic framework to design a classification model that yields a classifier which optimizes a utility function based on prior knowledge. Specifically, as t…