[HTML][HTML] An Integrated Approach: A Hybrid Machine Learning Model for the Classification of Unscheduled Stoppages in a Mining Crushing Line Employing Principal …
P Viveros, C Moya, R Mena, F Kristjanpoller, DR Godoy - Sensors, 2024 - mdpi.com
This article implements a hybrid Machine Learning (ML) model to classify stoppage events
in a copper-crushing equipment, more specifically, a conveyor belt. The model combines …
in a copper-crushing equipment, more specifically, a conveyor belt. The model combines …
Least squares minimum class variance support vector machines
M Panayides, A Artemiou - Computers, 2024 - mdpi.com
In this paper, we propose a Support Vector Machine (SVM)-type algorithm, which is
statistically faster among other common algorithms in the family of SVM algorithms. The new …
statistically faster among other common algorithms in the family of SVM algorithms. The new …
The R package psvmSDR: A Unified Algorithm for Sufficient Dimension Reduction via Principal Machines
Sufficient dimension reduction (SDR), which seeks a lower-dimensional subspace of the
predictors containing regression or classification information has been popular in a machine …
predictors containing regression or classification information has been popular in a machine …
A concise overview of principal support vector machines and its generalization
In high-dimensional data analysis, sufficient dimension reduction (SDR) has been
considered as an attractive tool for reducing the dimensionality of predictors while …
considered as an attractive tool for reducing the dimensionality of predictors while …