… Empirical comparison is most often done by applying algorithms on various data sets and
then evaluating the performance of the classifiers that the algorithms have produced; accuracy …

… performance on largescale optimization tasks. The main algorithm, Ыи , works by learning
an evaluation … The learned evaluation function is then used to bias future search trajectories …

… To examine whether relevant academic background was related to student performance,
we considered students’ performance results in another foundation-level course, Business …

… analysis, design and performance evaluation. Through a comprehensive literature survey,
this paper summarises and compares the most widely used optimisation techniques for …

… Seeking to answer this important question, the purpose of this study was to examine the
effects of CBE on the instruction and evaluation of learning outcomes of students in a medical–…

… Customer satisfaction evaluation attracts PSS providers’ attentions in supporting PSS
design. Importance–performance analysis (IPA) as an effective customer satisfaction evaluation …

… assessment of a model’s performance in order to determine how to improve … evaluation as
well as the choice and design of learning algorithms. We present work studying the evaluation …

… one study to perform sentiment analysis on students feedback provided at the Facebook
page [25]. The aim of this study was to evaluate a teacher’s performance by identifying feedback …

… Performance evaluation In order to derive and evaluate the performance of the most appropriate
NN structure that better fulfils our objective, several scenarios and test cases comprising …

… porate them in CRs and evaluate their performance. This section provides an extended
case study of selecting, incorporating, and evaluating performance metrics and utility functions …