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.

Department of Cardiological Sciences, St George's Hospital Medical School, Cranmer Terrace, London SW17 ORE, UK Correspondence to: Dr M Malik, Department of Cardiological Sciences, St George's ...

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 ...

Abstract: Although a variety of models have been proposed for urban spatio-temporal forecasting, most existing forecasting models are developed manually for specific tasks. By investigating the ...

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

Abstract: Data-driven methods open up unprecedented possibilities for maritime surveillance using automatic identification system (AIS) data. In this work, we explore deep learning strategies using ...

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

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

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.

Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

Objective To investigate the association between attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic risk profile at the time of type 2 diabetes (T2D) diagnosis and examine ...