Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Stock Market Prediction using Tkinter is a Python-based desktop application that predicts stock prices using a Linear Regression model. The project features a user-friendly Tkinter GUI for entering ...

Machine Learning project for predicting California housing prices using Linear Regression, Ridge Regression, and Decision Tree Regression. Model comparison done using RMSE and R² Score. - riyarjais ...

Even after the introduction of ETI for cystic fibrosis, habit continues to have a key role in adherence to inhaled medicines in patients with CF.

Objective: To examine whether staff feedback on quality, safety and workforce issues is reflected in patient-reported experience. Setting: 166 NHS acute trusts in England. Participants: Respondents to ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Structural equation modeling and linear regression analysis were applied to explore the relationship between intergenerational support and the intention to seek medical care on the internet. Results: ...

Millions of people taking semaglutide or tirzepatide for weight loss face a sharp question: what happens when they stop? Data ...

Landy on Rahel Jaeggi, Progress and Regression. A critical theorist reformulates the concept of progress as social-reflexive problem-solving.

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.