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, ...
Visual Studio Magazine

Poisson Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...
IEEE

A New Three-Parameter Flexible Unit Distribution and Its Quantile Regression Model

Abstract: This paper introduces a novel Poisson-unit-Weibull (PUW) distribution, which is defined on a unit domain and characterized by three parameters. The PUW distribution is capable of ...
IEEE

Inflated Rayleigh Regression Model for High Dynamic Magnitude SAR Image Modeling

Abstract: This letter introduces a novel regression model structure for the inflated Rayleigh distribution, which effectively models high dynamic amplitude pixel values in synthetic aperture radar ...
Frontiers

Application of improved harmonic Poisson segmented regression model in evaluating the effectiveness of Kala-Azar intervention in Yangquan City, China

Background: The Centre for Disease Control and Prevention in Yangquan, China, has taken a series of preventive and control measures in response to the increasing trend of Kala-Azar. In response, we ...
marktechpost

Multi-Task Learning with Regression and Classification Tasks: MTLComb

In machine learning, multi-task learning (MTL) has emerged as a powerful paradigm that enables concurrent training of multiple interrelated algorithms. By exploiting the inherent connections between ...