Junior faculty are often told to protect their time, but nobody provides instructions for how to do so. As an assistant professor at a public university, I have struggled to balance my course load, my ...
A Los Angeles federal judge ruled against the U.S. Fish and Wildlife Service's decision to deny Endangered Species Act protections for the Joshua tree. The judge determined the USFWS failed to ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
Researchers have developed a new computer-aided diagnosis (CAD) system, BREAST-CAD, to improve breast cancer detection accuracy using machine learning algorithms and a real-time client-server ...
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 ...
The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...
Abstract: This paper presents an automatic machine learning (autoML) algorithm to select a decision tree algorithm which is most suitable for the stated requirements by the user for classification.
"You can't design a study of humans without using at least one of these terms." Unless you've been living under a rock, you're probably aware that the United States' federal government is lurching ...
1 Department of Computer Engineering, Northeastern University, Boston, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 3 Department of Computer Engineering, ...
An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move. In 2018, Google DeepMind's AlphaZero program taught itself the games of ...
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, ...