Fingerprint
Dive into the research topics of 'The Support Vector Machine: Classification with the Least Number of Features and Application to Neuroimaging Data'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
The Support Vector Machine: Classification with the Least Number of Features and Application to Neuroimaging Data
Sascha Klement*, Silke Anders, Thomas Martinetz
*Corresponding author for this work
3
Citations
(Scopus)