IEEE

Error Function Regularization: A New Approach to Sparse Logistic Regression

Abstract: We introduce the ERror Function (ERF) for sparse logistic regression. The ERF regularization interpolates between the $\mathrm{L}_{0}$ norm, which measures the number of non-zero elements in ...
IEEE

Modeling a Logistic Regression based Sustained Approach for Cancer Detection

Abstract: This assessment and treatment of cancer may be done using logistic regression. To properly forecast whether a tumour is malignant or benign, the likelihood of binary outcomes may be ...