Dual Passive-Aggressive Stacking k-Nearest Neighbors for Class-Incremental Multi-Label Stream Classification

Dual Passive-Aggressive Stacking k-Nearest Neighbors for Class-Incremental Multi-Label Stream Classification

Class-incremental multi-label stream classification (class-incremental MLSC) requires learning algorithms to adapt to concept drifts, perform single-pass online learning, and handle emerging new labels in the data stream. Most learning algorithms in the literature can fulfill only a subset but not a...

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Bibliographic Details
Main Authors: Hann Hsen Tan, Chu Kiong Loo, Chaw Seng Woo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Catastrophic forgetting
classification
class-incremental learning (CIL)
concept drift
continual learning
multi-label classification
Online Access:https://ieeexplore.ieee.org/document/11037399/
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