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Aug 10, 2022 · We compare the interpretability and classification performance of two types of decision trees (normal/soft decision tree) and explore the decision rules of ...
Decision trees can be used to enhance the interpretability of neural networks. In this work, we compare the classification and interpretability performance ...
Decision trees can be used to enhance the interpretability of neural networks. In this work, we compare the classification and interpretability.
This paper explores the classification capability of features by three ways, respectively: decision tree/random forest, hierarchical clustering and WordNet. To ...
TL;DR: In this paper , the authors compare the classification and interpretability performance of the normal decision tree and a type of soft decision tree ...
Article "A Preliminary Study of Interpreting CNNs Using Soft Decision Trees" Detailed information of the J-GLOBAL is an information service managed by the ...
摘要 Decision trees can be used to enhance the interpretability of neural networks.In this work,we compare the classification and interpretability ...
In this study, we use a decision tree to explain CNN pre- dictions at the semantic level. We have developed a method to revise a CNN and built a tight ...
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Sep 9, 2024 · This paper presents a method to learn a decision tree to quantitatively explain the logic of each prediction of a pre-trained convolutional ...
In this research, we learn a CNN with disentangled filters in high conv-layers. Each filter needs to be consistently activated by the same object region over ...