Y.-C. F. Wang, "Soft-decision hierarchical classification using SVM-type classifiers," Ph.D. dissertation, Carnegie Mellon Univ., 2009.Y.-C. Wanga and D. Casasent, "Soft-decision hierarchical classification using SVM-type classifiers," in IEEE World Congress on Computational Intelligence, Hong...
The components of the system are the SVM classification model with the quadratic kernel. Two hyper-parameters of the SVM classification model are tuned through parallel global optimization. To optimize the hyper-parameters, the Bayesian global optimization method which, is used for tuning hyper-...
Accuracies up to 84.07% were achieved using the methods detailed in this work. 展开 关键词: personality classification,Extrovert,Introvert,Myers-Briggs Type Indicator (MBTI),TFIDF,Support Vector Machine DOI: 10.1109/iSemantic50169.2020.9234288 年份: 2020 ...
QDE-SVM showed a superior cell type classification performance among QDE wrapping with other ML classifiers as well as the recent wrapper methods (i.e., FSCAM, SSD-LAHC, MA-HS, and BSF). QDE-SVM achieved an average accuracy of 0.9559, while the other wrapper met...
Firstly, a type-2 fuzzy multigranulation system has been designed for the classification task dealing with noisy and nonlinear microarray gene expression patterns. Thereafter, the fuzzy if–then rules have been devised on the feature vectors of microarray to enable accurate b...
Image retrievalImage classificationSupport vector machineIn this paper, a CBIR system based on multiple features of the images is proposed to retrieve similar images from the database of textile industry. Multiple feature technique includes well-structured union of various color, shape, and texture ...