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 ...
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 ...
Bitterly cold arctic air has blanketed parts of the United States over the last week, with some areas getting snow and subzero temperatures. Along with the cold weather comes a natural event called ...
Abstract: In this letter, a novel recursive total least squares (RTLS) algorithm that is grounded in a constrained Lagrange optimization of the errors-in-variables model is presented. The proposed ...
Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to automate the creation of artificial intelligence. Anna Goldie and Azalia ...
John Seiler was strolling across Virginia Tech’s campus with his students Thursday morning when something stopped them in their tracks: a sweet cherry tree with an unusual jagged scar running along ...
Abstract: In adversarial environments, unmanned aerial vehicle (UAV) swarms often face challenges such as node failures, battle damage, and strong electromagnetic interference, which may result in ...
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