Decision-tree-initialized dendritic neuron model for fast and accurate data classification
This work proposes a decision tree (DT)-based method for initializing a dendritic neuron
model (DNM). Neural networks become larger and larger, thus consuming more and more …
model (DNM). Neural networks become larger and larger, thus consuming more and more …
Interpretability diversity for decision-tree-initialized dendritic neuron model ensemble
To construct a strong classifier ensemble, base classifiers should be accurate and diverse.
However, there is no uniform standard for the definition and measurement of diversity. This …
However, there is no uniform standard for the definition and measurement of diversity. This …