A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization
The task of selecting the best optimization algorithm for a particular problem is known as
algorithm selection (AS). This involves training a model using landscape characteristics to …
algorithm selection (AS). This involves training a model using landscape characteristics to …
[PDF][PDF] Predicting student performance using Moodle data and machine learning with feature importance
Despite the growing technological advancement in education, poor academic performance
of students remains challenging for educational institutions worldwide. The study aimed to …
of students remains challenging for educational institutions worldwide. The study aimed to …
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
The selection of the most appropriate algorithm to solve a given problem instance, known as
algorithm selection, is driven by the potential to capitalize on the complementary …
algorithm selection, is driven by the potential to capitalize on the complementary …
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
This study examines the generalization ability of algorithm performance prediction models
across various benchmark suites. Comparing the statistical similarity between the problem …
across various benchmark suites. Comparing the statistical similarity between the problem …