… The most striking result of the analysis is, however, the extent to which each of these concepts
possesses different meanings. As described in this paper, these terms can mean almost …

… We employed multiple classifiers with different learning paradigms to evaluate different
classifier model. The organization of this paper is as follows: The majority of Section 2 discusses …

… performance evaluation based on the combination of fuzzy AHP and fuzzy comprehensive
evaluation … and sub-factors, the teaching performance index system was established. In the …

… in a study designed to investigate the relationship between teaching evaluations, course
performance, and the amount of learning that occurred as a result of having been enrolled in …

… Therefore, we define performance as the highest classification … performance comparison
of three federated learning algorithms, and (2) comparing them to regular centralized learning…

… descent (SGD), but the running performance of different frameworks might be different even
… study, we evaluate the running performance of four stateof-the-art distributed deep learning …

… In this paper, we set out to identify and evaluate the performance of machine learning
classification schemes applied in the prediction of postoperative life expectancy in the Lung …

… , tools transform CCL models into a so-called intermediate constructive model (ICM), which
focusses on parts relevant for performance analysis and eases the implementation of further …

… (FNBSC)” method, to evaluate the assessment of performance measurement. The rationale
of … Therefore, the aim of this study is to propose FNBSC as a performance evaluation method …

… of performance prediction indicators to deploying a simple student performance assessment
… a teaching and learning environment by mainly focusing on performance monitoring of …