Abstract: Shuffled linear regression (SLR) seeks to estimate latent features through a linear transformation, complicated by unknown permutations in the measurement dimensions. This problem extends ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: This paper investigates the online identification and data clustering problems for mixed linear regression (MLR) model with two components, including the symmetric MLR, and the asymmetric ...
The RansomHouse ransomware-as-a-service (RaaS) has recently upgraded its encryptor, switching from a relatively simple single-phase linear technique to a more complex, multi-layered method. In ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...
Package Python apps for easy delivery as executables, dig into Python 3.14's new debugging interface, and get live coding help for making sense of datasets. Want extra credit? Try wrangling Python ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
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