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Abstract: Computer network big data analysis systems often face the challenge of high-dimensional data processing, especially in network traffic classification and security incident detection, where ...
At M.I.T., a new program called “artificial intelligence and decision-making” is now the second-most-popular undergraduate major. By Natasha Singer Natasha Singer covers computer science and A.I.
All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...
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 ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Abstract: Image data visualization plays a crucial role in computer algorithm analysis and research. It can intuitively display the running process, performance, and result characteristics of ...
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
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 ...
The big picture: The rapid rise of generative artificial intelligence is prompting a fundamental rethinking of computer science education in the US. As AI-powered tools become increasingly proficient ...