In this paper, we demonstrated how machine learning can be integrated in the oil spill monitoring field for thickness estimation. A support vector regression model was trained on reflectivities ...

Support Vector Regression Based Traffic Prediction Machine Learning Model* Abstract: To combat the rising issue of urban traffic congestion, optimization of traffic light timings at intersections is ...

Keywords: colorectal cancer, hospitalization costs, influencing factors, random forest, support vector regression. Citation: Gao J and Liu Y (2024) Prediction and the influencing factor study of ...

The accurate and early detection of coronary heart disease (CHD) is crucial for reducing mortality rates. This study evaluates the predictive performance of three machine learning models—Logistic ...

We employed two classical machine learning algorithms, Logistic Regression (LR) and Support Vector Machine (SVM), to build predictive models. Dataset The dataset used in this project is the "Wine ...

The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

The existing manually constructed model and its modification, as well as traditional machine learning algorithms such as Artificial Neural Networks, K-nearest neighbors, Linear Regression, Support ...

Learning Vector Quantization, aka LVQ (for both classification and regression) Support Vector Machines, aka SVM (for binary classification) Random Forests, a type of “bagging” ensemble ...