Abstract: As one of the by-products of the municipal solid waste incineration (MSWI) process, dioxin (DXN) is not only difficult to detect but also potential harm to humans and the environment. The ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
DataStructureAndAlgo/ ├── Basics/ # Fundamental concepts and error handling ├── BackTracking/ # Backtracking algorithms │ ├── N-Queen Problem ...
Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...
This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...
Abstract: Alphabetic codes and binary search trees are combinatorial structures that abstract search procedures in ordered sets endowed with probability distributions. In this paper, we design new ...
Scientists have trained an AI algorithm to count the number of flowers on fruit trees using only smartphone images. The system could predict the size of a harvest months in advance — saving farmers ...
FairDT (FDT): Modification of the impurity criterion calculation during decision tree training to also consider fairness. Its general expression is: $$(1-\lambda) * \text{gini/entropy} - \lambda * ...
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