Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
adexchanger

Why Prediction Is Replacing Precision For Outcome-Driven Advertising

For years, the advertising model was contextual. If an insurance provider wanted to sell its product, it would prioritize advertising on insurance-related sites. The thinking was that you had to go ...
Hosted on MSN

TRISO Fuel Modeling Advances Are Transforming Burnup Prediction and Validation

New computational tools, refined modeling techniques, and experimental validation data are advancing TRISO fuel analysis. From SCALE 6.3.2 and PEGASUS breakthroughs in explicit particle modeling to ...
IEEE

Student Placement Prediction Using Machine Learning Algorithms

Abstract: The student placement prediction plays a crucial role in modern educational institutions and the job market. To make informed decisions with machine learning algorithms, accurate placement ...
Microsoft

Virtual Machine Allocation with Lifetime Predictions

The emergence of machine learning technology has motivated the use of ML-based predictors in computer systems to improve their efficiency and robustness. However, there are still numerous algorithmic ...
Chemistry World

AI tool learns to build molecules fragment by fragment

A new machine learning tool for drug design proposes better and more realistic drugs through clever handling of molecular geometries. The FragGen software builds molecules fragment by fragment, and ...
C&EN

Real-Time Prediction of Petrophysical Properties Using Machine Learning Based on Drilling Parameters

Department of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia Center for Integrative Petroleum Research, King Fahd University of ...
IEEE

Student Placement Prediction Using Supervised Machine Learning

Abstract: Student placement is one of the most significant activities at academic institutions. Placements have a large role in determining admission and the name of the university. As a result, each ...