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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Published in | Machine Learning and Knowledge Discovery in Databases. Research Track Vol. 12975; pp. 502 - 518 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2021
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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