TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Tech Xplore

Personalization features can make LLMs more agreeable, potentially creating a virtual echo chamber

Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from ...
IEEE

A Unified AutoEncoder-Based Representation Learning Framework for Fault Detection With Heterogeneous Feature Dimensions

Abstract: Industrial data collected from similar processes under varying production specifications or monitoring configurations often exhibit structural heterogeneity, particularly in the form of ...