4 天前 - … on Software Effort Estimation (SEE) and provide a simplified example of how you
might structure a comparative analysis … When machine learning algorithms are used to make …

4 天前 - … performance and competitive advantage. Furthermore, the success achieved in the
… method consisting of five steps involving five distinct machine learning techniques to predict …

7 天前 - … , ten (10) machine learning algorithms were evaluated to determine which model
exhibited the high accuracy in predicting student attrition. The analysis was conducted in …

8 天前 - … problem, then leverages the prediction within reinforcement learning algorithms to
… While competitive revenue management is an established business process in the travel …

13 天前 - … advancement, machine learning and deep learning have … research in bug priority
prediction, including studies by [31]… domain of open-source software bug repositories. Tan et al…

21 天前 - … a comparative study on the effectiveness of traditional machine learning techniques
in defect prediction and … for accurate defect prediction. Moreover, Iqbal et al. (2019) used 12 …

24 天前 - … have been exploited to enhance the performance of software fault prediction … a
comparative study to examine different deep learning model's performance in predicting software …

29 天前 - … Addressing the research gaps in identifying biased subgroups within deep learning
… providing a solid foundation for comparing the efficiency of different subgroup discovery …

35 天前 - … In software defect prediction (SDP), while the focus has … machine learning
techniques to enhance prediction … to our study is that the comparative methods were executed …

36 天前 - … The exploration of the subject continues with a comparative study of different
techniques of text-to-SQL query conversion in Chapter 8, and the next chapter examines ML …