Forgetful Forests: Data Structures for Machine Learning on Streaming Data under Concept Drift

Forgetful Forests: Data Structures for Machine Learning on Streaming Data under Concept Drift

Database and data structure research can improve machine learning performance in many ways. One way is to design better algorithms on data structures. This paper combines the use of incremental computation as well as sequential and probabilistic filtering to enable “forgetful” tree-based learning al...

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Bibliographic Details
Main Authors: Zhehu Yuan, Yinqi Sun, Dennis Shasha
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Algorithms
Subjects:
concept drift
machine learning
incremental algorithms
tree data structures
Online Access:https://www.mdpi.com/1999-4893/16/6/278

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