Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jhansi Lakshmi Potharlanka"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)
Abstract Feature selection is an indispensable aspect of modern machine learning, especially for high-dimensional datasets where overfitting and computational inefficiencies are common concerns. Traditional methods often employ either filter, wrapper
Externí odkaz:
https://doaj.org/article/0ad84001ee784a06a28d2dbceece8d4d
Publikováno v:
2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
Publikováno v:
International Journal of Open Source Software and Processes. 10:20-43
Software quality can be improved by early software defect prediction models. However, class imbalance due to under representation of defects and the irrelevant metrics used to predict them are two major challenges that hinder the model performance. T
Publikováno v:
2021 2nd International Conference for Emerging Technology (INCET).
This paper utilizes Whale Optimization Algorithmic rule (WOA), a meta-heuristic optimization algorithmic rule (nature-inspired one), to go looking for the optimum set of features or options. Feature selection techniques are crucial to understand data
Publikováno v:
International Journal of Rough Sets and Data Analysis. 6:51-60
The software testing efforts and costs are mitigated by appropriate automatic defect prediction models. So far, many automatic software defect prediction (SDP) models were developed using machine learning methods. However, it is difficult for the end