135 citations · 224 across the 3 of their papers we have counts for
3 papers
stat.ML2018★ 23 cited
Regularization Learning Networks: Deep Learning for Tabular Datasets
Ira Shavitt, Eran Segal
Despite their impressive performance, Deep Neural Networks (DNNs) typically underperform Gradient Boosting Trees (GBTs) on many tabular-dataset learning tasks. We propose that appl…
cs.AI2013★ 66 cited
Exact Inference in Networks with Discrete Children of Continuous Parents
Uri Lerner, Eran Segal, Daphne Koller
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks. Animportant subclass of hybrid BNs are conditional lin…
cs.LG2012★ 135 cited
Learning Module Networks
Eran Segal, Dana Pe'er, Aviv Regev +2
Methods for learning Bayesian network structure can discover dependency structure between observed variables, and have been shown to be useful in many applications. However, in dom…