43 citations · 58 across the 3 of their papers we have counts for
3 papers
OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms
Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini
Hyperparameter tuning in machine learning algorithms is a computationally challenging task due to the large-scale nature of the problem. In order to develop an efficient strategy f…
HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization
Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini
Machine learning techniques lend themselves as promising decision-making and analytic tools in a wide range of applications. Different ML algorithms have various hyper-parameters.…
Search Algorithms for Automated Hyper-Parameter Tuning
Leila Zahedi, Farid Ghareh Mohammadi, Shabnam Rezapour +2
Machine learning is a powerful method for modeling in different fields such as education. Its capability to accurately predict students' success makes it an ideal tool for decision…