172 citations · 539 across the 22 of their papers we have counts for
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cs.LG2020
Learning Latent Causal Structures with a Redundant Input Neural Network
Jonathan D. Young, Bryan Andrews, Gregory F. Cooper +1
Most causal discovery algorithms find causal structure among a set of observed variables. Learning the causal structure among latent variables remains an important open problem, pa…
cs.LG2013★ 24 cited
A Bayesian Network Classifier that Combines a Finite Mixture Model and a Naive Bayes Model
Stefano Monti, Gregory F. Cooper
In this paper we present a new Bayesian network model for classification that combines the naive-Bayes (NB) classifier and the finite-mixture (FM) classifier. The resulting classif…