Tech Xplore

Study finds 'dosed' nonlinearity can beat linear and fully nonlinear AI

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
IEEE

The Tensor Discriminant Ridge Regression Model With Extreme Learning Machine for Hyperspectral Image Classification

Abstract: Multivariate ridge regression (MR), linear discriminant analysis (LDA) and extreme learning machine (ELM) have been widely used in hyperspectral image (HSI) classification. However, these ...
IEEE

A survey of applications of simple and multiple linear regression in solar power generation

Abstract: The aim of this paper is to present the results of literature survey on the application of simple and multiple linear regression (to be called regression henceforth in this paper) technique ...

Financial word of the day: Heteroscedasticity — meaning, usage, and why it matters more than ever

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing and forecasting models ...