Heavy-tailed error distributions and predictors with anomalous values are ubiquitous in high-dimensional regression problems can seriously jeopardize the validity of statistical analyses if not properly addressed. For more reliable variable selection prediction under these adverse conditions, adaptive PENSE, a new robust regularized estimator, is proposed. Adaptive PENSE yields coefficient esti...

Plasmid pSt04 of Streptococcus thermophilus contains a gene encoding a protein with homology to small heat shock proteins (A. Geis, H. A. M. El Demerdash, and K. J. Heller, Plasmid 50:53-69, 2003). Strains cured from the shsp plasmids showed significantly reduced heat and acid resistance and a lower maximal growth temperature. Transformation of the cloned shsp gene into S. thermophilus St11 lac...

In this study, we propose evolutionary instance selection based on the Takagi-Sugeno (T-S) fuzzy model. The previous neural network with weighted fuzzy membership functions (NEWFM) supports feature selection; thus, it enables the selection of minimum features with the highest performance. The enhanced NEWFM supports a weighted mean defuzzification in the T-S fuzzy model with a confidence interv...