Motivated by the significant advances in integer optimization in the past decade, we introduce mixed-integer optimization methods to the classical statistical problems of classification and regression ...

The optimisation of railroad classification yards is a critical area of research within the broader field of transport logistics. These yards are complex operational hubs where inbound trains are ...

The proposed improved black widow optimization algorithm (IBWO)-RBF model is used for UCI dataset classification, nonlinear function approximation, nonlinear system identification and power load ...

Support for different activation functions, layer counts, and nodes per layer. Evaluation based on cross-validation performance metrics for classification and regression. Use of existing ...

The current work used Bayesian optimization to attempt to optimize image pre-processing parameters for: (i) distinguishing the brains of young and old adults (classification), (ii) predicting ...

This paper introduces a text classification optimization algorithm utilizing graph neural networks. By introducing adaptive graph construction strategy and efficient graph convolution operation, the ...

Evaluating the Performance and Capabilities of Logistic Regression on SMS Spam Classification This project is a comprehensive case study demonstrating the power and capabilities of Logistic Regression ...

Choosing a limited set of sensor locations to characterize or classify a high-dimensional system is an important challenge in engineering design. Traditionally, optimizing the sensor locations ...