Topics include probability theory, sampling theory, estimation, hypothesis testing, and linear regression. Prospective economics majors should take this course in or before the fall semester of the ...
Consistently ranked among the top by U.S. News & World Report, the online Master of Science in Electrical & Computer Engineering offers engineering professionals flexibility without sacrificing ...
Abstract: Mixed linear regression (MLR) models nonlinear data as a mixture of linear components. When noise is Gaussian, the Expectation-Maximization (EM) algorithm is commonly used for maximum ...
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 ...
Before starting a job as a software engineer at Bloomberg in New York City, Alexander Perez-Herrera was an international exchange student at Kookmin University in Seoul, South Korea. The experience ...
National Grid Ventures (NGV) plans to install what it’s calling the world’s first commercially-deployed, 100% hydrogen-fueled linear generator in the world at its Northport Power Plant on Long Island ...
Abstract: Scanning Electron Microscopy (SEM) images often suffer from noise contamination, which degrades image quality and affects further analysis. This research presents a complete approach to ...
Despite routinely ranking as one of the most popular majors for college students and recent graduates, computer science has one of the highest unemployment rates across all areas of study. Computer ...
Linear pluggable optics (LPO) is garnering more attention as a way to quickly and efficiently move data in and out of server racks, but a lack of standards for connecting the optical modules is ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...