Support vector regression (SVR) predicts a single numeric value using a kernel function, usually RBF, that computes similarity between two data items. SVR makes predictions using support vectors, ...
varguid is a Python implementation of the stage-1 variance-guided regression method described in: Liu S. and Lu M. (2026). Variance-Guided Regression for Heteroscedastic Data with a Grouping-Based ...
Abstract: This paper presents a hybrid quantum–classical approach for multiclass traffic state classification using a benchmark urban mobility dataset collected in Daejeon, South Korea. The proposed ...
Abstract: This paper presents an advanced feedback color control mechanism for multichannel LED lighting systems, leveraging a multilayer perceptron network. This feedback control ensures the ...
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