Least absolute deviations learning of multiple tasks
Copyright policy ) Xue, Wei; Zhang, Wensheng; Yu, Gaohang;
Least absolute deviations learning of multiple tasks
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Decomposition methods, Convex programming, least absolute deviations, feature selection, Numerical mathematical programming methods, \(l_1\) regularizatio, multitask learning, alternating direction method
Decomposition methods, Convex programming, least absolute deviations, feature selection, Numerical mathematical programming methods, \(l_1\) regularizatio, multitask learning, alternating direction method
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 3
Average
Average
Average
gold
Fields of Science (4) View all