Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
TechCrunch

Lemon Slice nabs $10.5M from YC and Matrix to build out its digital avatar tech

Developers and companies are increasingly deploying AI agents and chatbots within their apps, but so far they’ve mostly been restricted to text. Digital avatar generation company Lemon Slice is ...
Frontiers

Retrieving interpretability to support vector machine regression models in dynamic system identification

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...
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, ...
GitHub

Docs: Incorrect FP/FN definitions in the Confusion Matrix explanation for Logistic Regression

First off, thank you for the excellent documentation on this project. It's been very helpful. I was studying the Logistic Regression section, specifically the part ...
IEEE

Towards Fast Gaussian Process Regression Models: An FPGA-based Implementation of the RBF Kernel Matrix Computation

Abstract: Gaussian Process Regression (GPR) is a machine learning technique that, besides predicting certain target values, also quantifies their uncertainty. With that, GPR is increasingly gaining ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Case Western Reserve University

The Matrix Model for the Treatment of Stimulant Use Disorders

The Matrix Model, developed by the Matrix Institute (now CLARE|MATRIX), is one of the few treatment models specifically designed to address the needs of individuals with stimulant-use disorders. This ...
IEEE

Regression based circuit matrix models for accurate performance estimation of analog circuits

Abstract: Automated analog circuit synthesis techniques depend on fast and reliable estimation of circuit performance. This paper presents a highly accurate method of estimating performances by ...
GitHub

OFM-magpie-CNN-model-regression

Regression by CNN model that utilizes orbital field matrix (OFM) and magpie features. The model can be used on any continuous target (regression). The model can be used to train for various materials ...
ahajournals.org

Left Ventricular Hypertrophy in Aortic Stenosis: Early Cell and Matrix Regression 2 Months Post-Aortic Valve Replacement

In aortic stenosis, the myocardium responds with left ventricular hypertrophy, which is characterized by increased left ventricular mass due to cellular hypertrophy and extracellular matrix expansion.