Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Support Vector Machine Performance Improvements by Using Sine Cosine Algorithm Subject The topic of the resource Machine learning; Parameter optimization; Radiusmargin error; Sine cosine algorithm; Support vector machine (SVM) Description An account of the resource The optimization of parameters has a crucial influence on the solution efficacy and the accuracy of the support vector machine (SVM) in the machine learning domain. Some of the typical approaches for determining the parameters of the SVM consider the grid search approach (GS) and some of the representative swarm intelligence metaheuristics. On the other side, most of those SVM implementations take into the consideration only the margin, while ignoring the radius. In this paper, a novel radiusmargin SVM approach is implemented that incorporates the enhanced sine cosine algorithm (eSCA). The proposed eSCA-SVM method takes into the account both maximizing the margin and minimizing the radius. The eSCA has been used to optimize the penalty and RBF parameter in SVM. The proposed eSCA-SVM method has been evaluated against four binary UCI datasets and compared to seven other algorithms. The experimental results suggest that the proposed eSCA-SVM approach has superior performances in terms of the average classification accuracy than other methods included in the comparative analysis. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Zivkovic M.; Vukobrat N.; Chhabra A.; Rashid T.A.; Venkatachalam K.; Bacanin N. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 791-803. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9416-5_58" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_58</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133674641&amp;doi=10.1007%2F978-981-16-9416-5_58&amp;partnerID=40&amp;md5=af2c1dc83c88b38e90a2f75e212438cc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133674641&amp;doi=10.1007%2f978-981-16-9416-5_58&amp;partnerID=40&amp;md5=af2c1dc83c88b38e90a2f75e212438cc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Zivkovic M., Singidunum University, Danijelova 32, Belgrade, 11000, Serbia; Vukobrat N., Singidunum University, Danijelova 32, Belgrade, 11000, Serbia; Chhabra A., Guru Nanak Dev University, Amritsar, India; Rashid T.A., Computer Science and Engineering Department, University of Kurdistan Hewler, KRG, Erbil, Iraq; Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Bacanin N., Singidunum University, Danijelova 32, Belgrade, 11000, Serbia