Search Results for author: Dean Bodenham

Found 3 papers, 1 papers with code

Finding significant combinations of features in the presence of categorical covariates

1 code implementation NeurIPS 2016 Laetitia Papaxanthos, Felipe Llinares-Lopez, Dean Bodenham, Karsten Borgwardt

In high-dimensional settings, where the number of features p is typically much larger than the number of samples n, methods which can systematically examine arbitrary combinations of features, a huge 2^p-dimensional space, have recently begun to be explored.

Searching for significant patterns in stratified data

no code implementations24 Aug 2015 Felipe Llinares-Lopez, Laetitia Papaxanthos, Dean Bodenham, Karsten Borgwardt

Significant pattern mining, the problem of finding itemsets that are significantly enriched in one class of objects, is statistically challenging, as the large space of candidate patterns leads to an enormous multiple testing problem.

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