There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...
If you happen to be on a Texas highway sometime this summer, and see a 50,000-pound semi truck barreling along with nobody behind the wheel, just remember: A self-driving truck is less likely to kill ...
If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...
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 ...
Collective decision-making is hardly a perfect science. Broken processes, data overload, information asymmetry, and other inequities only compound the challenges that come from large, disparate ...
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 ...
Abstract: Accurate wind power forecasting is crucial for efficient power grid operation with significant wind power integration. This study compares tree-based learning algorithms and advanced machine ...
Background: Decisions surrounding involuntary psychiatric treatment orders often involve complex clinical, legal, and ethical considerations, especially when patients lack decisional capacity and ...
In March 2021, a driver in Charlton, Massachusetts, plunged his car into Buffumville Lake while following GPS directions. Rescue teams were called to recover the completely submerged vehicle from 8 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback