Title:          SVM-RFE: selection and visualization of the most relevant features through non-linear kernels
Subject:        BMC Bioinformatics, 2018, doi:10.1186/s12859-018-2451-4
Keywords:       Support vector machines,Relevant variables,Recursive feature elimination,Kernel methods
Author:         Hector Sanz
Creator:        Arbortext Advanced Print Publisher 9.1.440/W Unicode
Producer:       Acrobat Distiller 10.1.5 (Windows); modified using iText 5.3.5 2000-2012 1T3XT BVBA (AGPL-version)
CreationDate:   11/16/18 14:17:20
ModDate:        11/19/18 15:38:13
Tagged:         no
Form:           none
Pages:          18
Encrypted:      no
Page size:      595.276 x 790.866 pts (rotated 0 degrees)
File size:      2917177 bytes
Optimized:      no
PDF version:    1.4
