Incorporating variable importance into kernel PLS for modeling the structure–activity relationship...
Kernel partial least squares (KPLS) has become popular techniques for chemical and biological modeling, which is a nonlinear extension of linear PLS. Training samples are transformed into a feature space via a nonlinear mapping, and then PLS algorithm can be carried out in the feature space. However...
|Journal Title:||Journal of Mathematical Chemistry|
|Authors and Corporations:|
|In:||Journal of Mathematical Chemistry, 56, 2018, 3, p. 713-727|
|Type of Resource:||E-Article|
Springer International Publishing