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.

Abstract: This paper describes an original method for target tracking in wireless sensor networks. The proposed method combines machine learning with a Kalman filter to estimate instantaneous ...

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most fascinating science news stories of the week in your inbox every Friday. de ...

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

Water is the most abundant liquid on Earth's surface, and it is highly anomalous compared with other liquids because it ...

Abstract: This work introduces an innovative application of established machine learning methods to calculate transformer no-load losses. An accurate estimation of losses is crucial to cost-effective ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...

Explore the latest news and expert commentary on Vulnerabilities & Threats, brought to you by the editors of Dark Reading ...

France’s OVHcloud bets on frontier AI as Europe seeks alternatives to US models The company says the cost of training frontier AI models has fallen sharply, but analysts say the bigger challenge may ...