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Penalized feature selection and classification techniques are promising in bioinformatics studies of high-dimensional microarray data. The penalized objective function of penalization methods includes two parts: classification objective function and penalty terms. We propose a novel L1 + L1 model. The classification objective function is chosen as the negative log-likelihood function based on the...
From the perspective of positive psychology, this study examines the relationship between emotional labor and job engagement. Results of the 258 sample survey showed emotional labor has a certain prediction on job engagement: the surface acting has a negative correlation with dedication, deep acting has a positive correlation with dedication, and emotional strategy has a positive correlation with...
Aiming at nonlinear control system on-line modeling, the effects of training data distribution to the performance of SVR are analyzed, and a new modeling method based on modified support vector regression (SVR) is proposed. The analyzed results indicate that the data near to the new added sample should be preserved when training data are updated, which can improve the performance; the fixed parameters...
Gene selection with interpretation is an important problem in the bioinformatics field. A novel approach called sparse maximal margin features is proposed in this paper for gene subsets selection and visualization. Through transforming an dense eigenvalue decomposition problem into the Elastic-Net regularized sparse regression framework, we introduce sparsity constraint into the coefficients, which...
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