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 computing resources. This ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

The challenges of traditional project planning tools, leads to pitiable performance of a variety of projects and has great economic impacts. The aim of this study was to provide a framework for the ...

And the tools that often help with decision-making—data analysis, scenario planning, decision trees, and so on—can falter in the face of the scale and complexity of the biggest problems that ...