Heterogeneous oblique random forest

Decision trees in random forests use a single feature in non-leaf nodes to split the data. Such splitting results in axis-parallel decision boundaries which may fail to exploit the geometric structure in the data. In oblique decision trees, an oblique hyperplane is employed instead of an axis-parall...

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Bibliographic Details
Main Authors: Katuwal, Rakesh, Suganthan, Ponnuthurai Nagaratnam, Zhang, Le
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138843
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Institution: Nanyang Technological University
Language: English
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