New Scalable and Efficient Online Pairwise Learning Algorithm

Pairwise learning is an important machine-learning topic with many practical applications. An online algorithm is the first choice for processing streaming data and is preferred for handling large-scale pairwise learning problems. However, existing online pairwise learning algorithms are not scalabl...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE transaction on neural networks and learning systems Ročník 35; číslo 12; s. 17099 - 17110
Hlavní autori:	Gu, Bin, Bao, Runxue, Zhang, Chenkang, Huang, Heng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.12.2024
Predmet:	Doubly stochastic gradient algorithm Electronic learning Heuristic algorithms Machine learning Measurement online learning pairwise learning Scalability statistical accuracy Statistics Stochastic processes Training
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!