Towards scalable and data efficient learning of Markov boundaries

The max-min hill-climbing Bayesian network structure learning algorithm

Ioannis Tsamardinos, Laura E. Brown, Constantin Aliferis · Machine Learning · 2006 · 1.8K citations · Full text

Computing, Computer Science, Bayesian Data Analysis +9

An empirical Bayes approach to inferring large-scale gene association networks

Juliane Schäfer, Korbinian Strimmer · Bioinformatics · 2004 · 814 citations · Full text

Life Sciences, Biostatistics, Genetics +13

Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm

Nir Friedman, Iftach Nachman, Dana Pe’er · arXiv (Cornell University) · 1999 · 522 citations · Full text

Computing, Computer Science, Data Mining +16

Algorithms for Large Scale Markov Blanket Discovery

Ioannis Tsamardinos, Constantin Aliferis, Alexander Statnikov · 2003 · 442 citations

Computing, Computer Science, Data Science +13

Kernel Methods for Measuring Independence

Arthur Gretton, Ralf Herbrich, Alexander J. Smola et al. · ANU Open Research (Australian National University) · 2005 · 344 citations · Full text

Computing, Mathematics, Machine Learning +14