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A set of classifications and machine learning algorithms are explored and comparatively studied for MER, which includes Support Vector Machine (SVM), k-Nearest Neighbors (KNN), Neuro-Fuzzy Networks Classification (NFNC), Fuzzy KNN (FKNN), Bayes classifier and Linear Discriminant Analysis (LDA). Experimental results show that the SVM, FKNN and LDA algorithms are the most effective methodologies that obtain more than 80% accuracy for MER.<\/p>","DOI":"10.4018\/ijcini.2017100105","type":"journal-article","created":{"date-parts":[[2017,12,4]],"date-time":"2017-12-04T16:10:33Z","timestamp":1512403833000},"page":"80-92","source":"Crossref","is-referenced-by-count":5,"title":["Music Emotions Recognition by Machine Learning With Cognitive Classification Methodologies"],"prefix":"10.4018","volume":"11","author":[{"given":"Junjie","family":"Bai","sequence":"first","affiliation":[{"name":"School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China & Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada"}]},{"given":"Kan","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China"}]},{"given":"Jun","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China"}]},{"given":"Jinliang","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China"}]},{"given":"Ying","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China"}]},{"given":"Lixiao","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China & Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada"}]},{"given":"Jianqing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}]},{"given":"Yingxu","family":"Wang","sequence":"additional","affiliation":[{"name":"International Institute of Cognitive Informatics and Cognitive Computing (ICIC),Laboratory for Computational Intelligence, Denotational Mathematics, and Software Science, Department of Electrical and Computer Engineering, Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada & Information Systems Lab, Stanford University, Stanford, CA, USA"}]}],"member":"2432","reference":[{"key":"IJCINI.2017100105-0","doi-asserted-by":"publisher","DOI":"10.4018\/IJCINI.2016100104"},{"key":"IJCINI.2017100105-1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCI-CC.2016.7862063"},{"key":"IJCINI.2017100105-2","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-012-9407-7"},{"key":"IJCINI.2017100105-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2013.11.011"},{"key":"IJCINI.2017100105-4","doi-asserted-by":"publisher","DOI":"10.17148\/IJARCCE.2015.4124"},{"key":"IJCINI.2017100105-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.07.014"},{"key":"IJCINI.2017100105-6","first-page":"1","article-title":"Music emotion detection using hierarchical sparse kernel machines.","volume":"2014","author":"Y. 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