How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
IEEE

Regression in Earth Observation: Are vision–language models up to the challenge?

Abstract: Earth observation (EO) data encompass a vast range of remotely sensed information, featuring multisensor and multitemporal data, playing an indispensable role in understanding our planet’s ...
Eos

When Is a Climate Model “Good Enough”?

Global climate models are software behemoths, often containing more than a million lines of code. Inevitably, such complex models will contain mistakes, or “bugs.” But because model outputs are widely ...
Ars Technica

The personhood trap: How AI fakes human personality

Recently, a woman slowed down a line at the post office, waving her phone at the clerk. ChatGPT told her there’s a “price match promise” on the USPS website. No such promise exists. But she trusted ...
marktechpost

Google AI’s New Regression Language Model (RLM) Framework Enables LLMs to Predict Industrial System Performance Directly from Raw Text Data

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...
Microsoft

MindJourney enables AI to explore simulated 3D worlds to improve spatial interpretation

A new research framework helps AI agents explore three-dimensional spaces they can’t directly detect. Called MindJourney, the approach addresses a key limitation in vision-language models (VLMs), ...
Frontiers

Using preprocessed datasets to construct and interpret multiclass identification models

Introduction: Image and near-infrared (NIR) spectroscopic data are widely used for constructing analytical models in precision agriculture. While model interpretation can provide valuable insights for ...
Scientific Research Publishing

Long, J. S., & Freese, J. (2014). Regression Models for Categorical Dependent Variables Using Stata (3rd ed.). Stata Press.

ABSTRACT: This experimental study examines cheating behaviors in the entrepreneurial context, specifically investigating the impact of control systems and sanctions. We compare the honesty levels of ...
GitHub

How to interpret the output of the method?

How to interpret the output of the method? · Issue #11 · vlongle/articulate-anything · GitHub vlongle / articulate-anything Public Notifications Fork 9 Star Insights ...
The White House

PREVENTING WOKE AI IN THE

Section 1. Purpose. Artificial intelligence (AI) will play a critical role in how Americans of all ages learn new skills, consume information, and navigate their daily lives. Americans will require ...
IEEE

An Undersampling Method Based on Spatial Distance and Output Change for Computational Cost Reduction of Regression Models of Engineering Data

Abstract: Excessive computational cost is one of the main reasons limiting the application of regression analysis in engineering data mining. In this article, an undersampling method is proposed to ...