Lam, R. (in press). Assessing creative writing formatively and summatively with e-Portfolios: A case study in Hong Kong. In B. Chamcharatsri & A. Iida (Eds.),International Perspectives on Using Creative Writing in Second Language Education: Supporting Language Learners’ Proficiency, Identity ...
time series are often labeled by an expert or by an imprecise process, leading to noisy classes. Several algorithms have been developed to handle uncertain labels in case of non-temporal data sets. As an example, the fuzzy k-NN introduces for labeled objects a degree of membership to belong...
potentially overlooking meaningful patterns in the data. The elbow method [5] frequently addresses this challenge by identifying the “elbow point” in the plot of explained variance versus the number of clusters. The use of the elbow method by the non-expert user for the automatic determination ...
Shalileh, S.; Mirkin, B. A One-by-One Method for Community Detection in Attributed Networks. In Proceedings of the International Conference on Intelligent Data Engineering and Automated Learning, Guimaraes, Portugal, 4–6 November 2020; Lecture Notes in Computer Science. Springer: Cham, Switzerland...
potentially overlooking meaningful patterns in the data. The elbow method [5] frequently addresses this challenge by identifying the “elbow point” in the plot of explained variance versus the number of clusters. The use of the elbow method by the non-expert user for the automatic determination ...
The use of the elbow method by the non-expert user for the automatic determination of the k parameter value constitutes the motive of the present work. Moreover, K-means clustering, with or without the incorporation of the elbow method, is available in numerous dedicated standalone software ...
the necessity of throwing away data during compression which has been sensed at high cost is eliminated—the reduction already takes place during sensing. Finding a solution becomes possible by incorporating a small amount of expert knowledge in the form of assuming the sparse signal in a given do...
It could manifest as instances where data belonging to category “a” were incorrectly predicted as category “b”. The confusion matrix enabled the identification and quantification of the misclassifications by specifying the number of “a” category data points that were incorrectly classified as “...
It could manifest as instances where data belonging to category “a” were incorrectly predicted as category “b”. The confusion matrix enabled the identification and quantification of the misclassifications by specifying the number of “a” category data points that were incorrectly classified as “...
A multi-objective PSO for job-shop scheduling problems. Expert Syst. Appl. 2010, 37, 1065–1070. [Google Scholar] [CrossRef] Chen, C.; Zhou, K. Application of Artificial Bee Colony Algorithm in Vehicle Routing Problem with Time Windows. In Proceedings of the 2018 International Conference on...