A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Urban landscapes could be cooled by up to 3.5 degrees using a QUT-developed AI-based tool that optimizes where trees and which species are planted to make cities cooler, greener and more resilient in ...
Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
The world premiere opera is collection of 10 loosely linked scenes written by different composers who wrote without knowing what the others were up to.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...
This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...
Abstract: Heterogenous Wireless Sensor Networks (HWSNs) are cost-effective solutions to monitor the environment. These networks face limited battery as a critical challenge. Traditionally, ...
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