Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

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 article develops a communication-efficient algorithm to solve the stochastic optimization problem defined over a distributed network, aiming at reducing the burdensome communication in ...

This project is no longer maintained. You are of course free to use the code, but there are no plans to continue nor provide support on its usage. ALPGM is a fully parameterized glacier evolution ...

Every day, researchers search for optimal solutions. They might want to figure out where to build a major airline hub. Or to determine how to maximize return while minimizing risk in an investment ...

No one yet knows how ChatGPT and its artificial-intelligence cousins will transform the world, and one reason is that no one really knows what goes on inside them. Some of these systems’ abilities go ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...

1 Department of Statistics, Truman State University, Kirksville, MO, USA. 2 Department of Physics, Virginia Union University, Richmond, VA, USA. 3 Department of ...