Budgeted Passive-Aggressive Learning for Online Multiclass Classification

Online multiclass classification is a specific problem of online learning that performs a sequence of multiclass classification tasks given the knowledge of previous tasks. The goal is to make correct predictions for this sequence. It is generally considered a more complicated problem than its binar...

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Bibliographic Details
Main Authors: Chung-Hao Wu, Henry Horng-Shing Lu, Hsueh-Ming Hang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9272297/