A study of bidirectional knowledge transfer between Random Forests and Deep Neural Networks using proposed distillation methods, evaluated on classification and regression tasks across six datasets.
Chen et al., ”Big Data Analytics in the Era of Artificial Intelligence: Challenges and Opportunities,”IEEE Trans
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Cross-Paradigm Knowledge Distillation: A Comprehensive Study of Bidirectional Transfer Between Random Forests and Deep Neural Networks for Big Data Applications
A study of bidirectional knowledge transfer between Random Forests and Deep Neural Networks using proposed distillation methods, evaluated on classification and regression tasks across six datasets.