Heterogeneous oblique random forest

• المؤلفون الرئيسيون: Katuwal, Rakesh, Suganthan, Ponnuthurai Nagaratnam, Zhang, Le
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Benchmarking; Classifiers
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/138843

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...