An Incremental Kernel Extreme Learning Machine for Multi-Label Learning With Emerging New Labels

An Incremental Kernel Extreme Learning Machine for Multi-Label Learning With Emerging New Labels

Multi-label learning with emerging new labels is a practical problem that occurs in data streams and has become an important new research issue in the area of machine learning. However, existing models for dealing with this problem require high learning computational times, and there still exists a...

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Bibliographic Details
Main Authors: Yanika Kongsorot, Punyaphol Horata, Pakarat Musikawan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-label classification
multi-label learning with emerging new labels
extreme learning machine
class incremental learning
novelty detection
data stream classification
Online Access:https://ieeexplore.ieee.org/document/9025081/

Internet

https://ieeexplore.ieee.org/document/9025081/

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