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.

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Liftoff Mobile (LFTO) is rated a buy, leveraging its dual demand-supply platform and Cortex engine to outperform the mobile ...

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...

The physical maturation of a child’s brain can predict their subsequent emotional coping strategies, revealing fresh ways ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

Researchers at IMDEA Materials Institute have developed an artificial intelligence (AI)-based strategy to predict and assess ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...