… From a continuous quality improvement point of view, the performance-evaluation model
used in this research allows making a prioritisation between the items for improvement by …

… This evaluation is based on a comparison of the outer-product rule and optimal least-squares
training. This analysis also reveals some important properties of high-order neural …

… concatenation in machine learning? Concentrating on performance evaluation as we do in
… in one of the most common evaluation scenarios in machine learning: cross-validation of …

… Because different instruction types had different execution latencies, the instruction mix
was sufficient for accurate performance analysis. Later on, performance evaluation was done …

… for calculating NMI to evaluate the performance of a clustering … an unsupervised method for
evaluating the performance of a … Silhouette index to evaluate the clustering performance. The …

… was to design a teaching performance evaluation model based on the domain Preparation
for student learning within the Framework for Teacher Good Performance. The study is based …

… was to conduct a performance evaluation of student learning for an introductory course in …
utilizing performance measurement philosophy to evaluate perceived student learning after …

… it, giving rise to different performance evaluation metrics or confidence evaluation tests. We
… used performance evaluation metrics—Accuracy, Precision/Recall, ROC Analysis—do focus …

… To evaluate the performance of this work, real datasets are used and applied to record the
performance and further compare it with other methodologies. Six different datasets are used …

… of usability evaluation of a distance learning system are … was to evaluate the usability of
the Testing and Self-evaluation … The usability evaluation was based on user questionnaires. …