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06/07/2023
Invariant Causal Set Covering Machines
Rule-based models, such as decision trees, appeal to practitioners due t...
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08/11/2022
RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data
Background: Understanding the relationship between the Omics and the phe...
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05/22/2015
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance
The Set Covering Machine (SCM) is a greedy learning algorithm that produ...
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12/02/2014
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine
The increased affordability of whole genome sequencing has motivated its...
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07/31/2012
Learning a peptide-protein binding affinity predictor with kernel ridge regression
We propose a specialized string kernel for small bio-molecules, peptides...
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05/04/2010
