The Mercer sigmoid kernel achieves the best mean accuracy on three clinical data sets, detecting melanoma in skin lesions better than the most popular kernels; ...
The Mercer sigmoid kernel achieves the best accuracy on three clinical data sets, detecting melanoma in skin lesions better than the most popular kernels, and ...
Abstract—In classification with Support Vector Machines, only Mercer kernels, i.e. valid kernels, such as the Gaussian. RBF kernel, are widely accepted and ...
Performs clinical data classification significantly better on 3 data sets vs. Gaussian RBF, linear, polynomial, sigmoid. Performs non-clinical data ...
The Mercer sigmoid kernel achieves the best mean accuracy on three clinical data sets, detecting melanoma in skin lesions better than the most popular ...
The Mercer sigmoid kernel achieves the best mean accuracy on three clinical data sets, detecting melanoma in skin lesions better than the most popular kernels; ...
The Mercer sigmoid kernel achieves the best mean accuracy on three clinical data sets, detecting melanoma in skin lesions better than the most popular kernels; ...
Title, A new mercer sigmoid kernel for clinical data classification ; Publication Type, Conference Paper ; Year of Publication, 2014 ; Authors, Carrington, A. M., ...
A new mercer sigmoid kernel for clinical data classification ; Year of Publication. 2014 ; Conference Name. 2014 36th Annual International Conference of the IEEE ...
Linked Research. A new Mercer sigmoid kernel for clinical data classification. Article. August 2014. André M Carrington · Paul Fieguth · Helen Hong Chen.