Sparse fuzzy techniques improve machine learning

On the example of diagnosing cancer based on the microarray gene expression data, we show that fuzzy-technique description of imprecise knowledge can improve the efficiency of the existing machine learning algorithms. Specifically, we show that the fuzzy-technique description leads to a formulation of the learning problem as a problem of sparse optimization, and we use l1-techniques to solve the resulting optimization problem.