On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function
The main objective of twin support vector regression (TSVR) is to find the optimum
regression function based on the ε-insensitive up-and down-bound with equal influences on …
regression function based on the ε-insensitive up-and down-bound with equal influences on …
Computational approach to clinical diagnosis of diabetes disease: a comparative study
Diabetes is one of the most prevalent non-communicable diseases and is the 6th leading
cause of death worldwide. It'sa chronic metabolic disorder which has no cure, however, it is …
cause of death worldwide. It'sa chronic metabolic disorder which has no cure, however, it is …
Kernel-target alignment based fuzzy Lagrangian twin bounded support vector machine
To improve the generalization performance, we develop a new technique for handling the
impacts of outliers using Lagrangian twin bounded SVM (TBSVM) with kernel fuzzy …
impacts of outliers using Lagrangian twin bounded SVM (TBSVM) with kernel fuzzy …