ABSTRACT: This study investigates the application of cumulative link models with alternative distributions (hyperbolic secant, Laplace, and Cauchy) to model ordinal outcomes of depressive severity ...

WASHINGTON, Nov 14 (Reuters) - The Commerce Department's Bureau of Economic Analysis said on Friday it was working to update its schedule of economic data releases affected by the recently ended ...

Data centers are proliferating in Virginia and a blind man in Baltimore is suddenly contending with sharply higher power bills. The Maryland city is well over an hour’s drive from the northern ...

In heritage districts from Prague to Paris, a countdown has begun. Years until countless architectural treasures become, quite literally, worthless. Not through the slow erosion of time or the erratic ...

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...

What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next. AI’s integration into our lives is ...

Have you ever found yourself staring at a long, messy column of data, wondering how to quickly transform it into a clean, structured table? For anyone working with Power Query, this challenge is all ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...