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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Main Authors: Katuwal, Rakesh, Suganthan, Ponnuthurai Nagaratnam, Zhang, Le
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2020
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在線閱讀:https://hdl.handle.net/10356/138843
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