Rule-based models, such as decision trees, appeal to practitioners due t...
Background: Understanding the relationship between the Omics and the
phe...
The Set Covering Machine (SCM) is a greedy learning algorithm that produ...
The increased affordability of whole genome sequencing has motivated its...
We propose a specialized string kernel for small bio-molecules, peptides...
One of the objectives of designing feature selection learning algorithms...