Streaming Decision Trees for Lifelong Learning

Lifelong learning models should be able to efficiently aggregate knowledge over a long-term time horizon. Comprehensive studies focused on incremental neural networks have shown that these models tend to struggle with remembering previously learned patterns. This issue known as catastrophic forgetti...

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Bibliographic Details
Published inMachine Learning and Knowledge Discovery in Databases. Research Track Vol. 12975; pp. 502 - 518
Main Authors Korycki, Łukasz, Krawczyk, Bartosz
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2021
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
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