Alignment Based Kernel Selection for Multi-Label Learning
Sign Up to like & getrecommendations! Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9863-z
Abstract: Kernel based methods are increasingly being used for data modeling because of their conceptual simplicity and outstanding performance on many learning tasks. And kernel alignment, which is usually employed to select particular kernel for a… read more here.
Keywords: label; multi label; label learning; kernel alignment ... See more keywords
Incomplete Multiple Kernel Alignment Maximization for Clustering.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3116948
Abstract: Multiple kernel alignment (MKA) maximization criterion has been widely applied into multiple kernel clustering (MKC) and many variants have been recently developed. Though demonstrating superior clustering performance in various applications, it is observed that none… read more here.
Keywords: mka maximization; maximization clustering; kernel alignment; multiple kernel ... See more keywords