A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

A response to recent largesse of large language modeling material. Reading the Communications March 2025 issue, it struck me ...

Load forecasting is a critical aspect for power systems planning, operation and control. In this paper, as part of research efforts of an ambitious project at Memorial University of Newfoundland in St ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

But under the hood, it’s far more powerful than that. If you're only using it to brainstorm ideas or edit emails, you're missing out on some seriously impressive hacks that can save you time, simplify ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

This article presents a design and realization of fuzzy rule-based regression models based on standard decision trees. A two-phase design of rule-based model is offered in this study to provide a good ...

💬 LMTrajectory Framework 🗨️ Prompt-Based Approach: Moving away from conventional numerical regression models, we reframe the task into a prompt-based question-answering perspective. Social Reasoning ...

Mehta, C.R. and Patel, N.R. (1995) Exact Logistic Regression Theory and Examples. Statistics in Medicine, 14, 2143-2160.