… Performanceevaluation 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 …
Y Zhao, S Mao, JO Neel, JH Reed - Proceedings of the IEEE, 2009 - ieeexplore.ieee.org
… porate them in CRs and evaluate their performance. This section provides an extended case study of selecting, incorporating, and evaluatingperformance metrics and utility functions …
… Based on the analysis provided in this section, the appropriate evaluation strategy, ie offline, online or simulated online, for a new BCI or BCI component can be determined. …
… compare method evaluation results. For systematic method performanceanalysis is needed … cases with known outcome, and suitable evaluation measures. The criteria for benchmark …
… In this manuscript the authors applied various machine learning algorithms to a problem in the … The various metrics used for performanceevaluation are predictive accuracy, precision, …
… During a performanceanalysis, one is often confronted with the dilemma: should we use an approximate model for which exact solutions exist, or approximate solutions for a more exact …
AK Dwivedi - Neural Computing and Applications, 2018 - Springer
… 3.7 Classification performance measurement Six supervised machine learning techniques were … Tenfold cross validation was for the evaluation of classification performance. The …
K Edström - Higher education research & development, 2008 - Taylor & Francis
… The policy on course analysis was the result of an … evaluating the teachers’ performance and evaluating for course development. In their report, they coined the term course analysis. …
R Kay - Computers in Human Behavior, 2011 - Elsevier
… limited because sound, reliable, valid evaluation metrics are sparse, particularly in the K-12 … Data collected from the new WBLT Evaluation Scale demonstrated good internal reliability, …