Sign Up to like & get
recommendations!
1
Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22690
Abstract: Multiple empirical kernel learning (MEKL) is a scalable and efficient supervised algorithm based on labeled samples. However, there is still a huge amount of unlabeled samples in the real‐world application, which are not applicable for…
read more here.
Keywords:
labeled samples;
empirical kernel;
unlabeled samples;
kernel learning ... See more keywords