Multi-Label Learning via Feature and Label Space Dimension Reduction

In multi-label learning, each object belongs to multiple class labels simultaneously. In the data explosion age, the size of data is often huge, i.e., large number of instances, features and class labels. The high dimension of both the feature and label spaces has posed great challenges to multi-lab...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Jun Huang, Pingzhao Zhang, Huiyi Zhang, Guorong Li, Haowei Rui
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2020-01-01
סדרה:	IEEE Access
נושאים:	Multi-label learning label space dimension reduction feature space dimension reduction
גישה מקוונת:	https://ieeexplore.ieee.org/document/8968335/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!