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.
Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...
Russell (Rust Scientific Library) helps develop high-performance computations involving linear algebra, sparse linear systems, numerical mathematics (continuation), differential equations, statistics, ...
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d’Armi, 09123 Cagliari, Italy ...
Most reaction rate theories start from the assumption of quasi-equilibrium attained in a given reactant before the reaction occurs. However, in complex networks with multiple nodes, it remains unclear ...
The existence of fractional evolution equations has attracted a growing interest in recent years. The mild solution of fractional evolution equations constructed by a probability density function was ...
Hepatitis is a liver disease caused by a different type of virus. Hepatitis is an inflammatory condition of the liver. It is commonly the result of a viral infection, but there are some other possible ...
The electrical properties of magnetic sensing devices fabricated from anisotropic materials are not easily extracted. Here we present a method for determining the resistance matrix for an anisotropic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results