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The application and research of double-layer music emotion classification model based on random forest algorithm in digital music
Huang, Linna - In: International journal of networking and virtual … 28 (2023) 2/4, pp. 445-460
Persistent link: https://www.econbiz.de/10014436553
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Interactions between instrumental timbre and consumers' regulatory focus
Sunaga, Tsutomu; Meng, Yan; Zhuang, Xuhong - In: Journal of business research : JBR 121 (2020), pp. 1-12
Persistent link: https://www.econbiz.de/10012417308
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The sound of music : the effect of timbral sound quality in audio logos on brand personality perception
Melzner, Johann; Raghubir, Priya - In: Journal of marketing research 60 (2023) 5, pp. 932-949
Persistent link: https://www.econbiz.de/10014384292
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Application of Machine Learning Algorithms to a Well Defined Clinical Problem: Liver Disease
Singh, Aman; Pandey, Babita; Takkar, Sakshi - In: International Journal of E-Health and Medical … 8 (2017) 4, pp. 38-60
the ML algorithms for analyzing variation in results, to find the best classification model and to analyze the merits and …
Persistent link: https://www.econbiz.de/10012044444
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Fuzzy Rough Support Vector Machine for Data Classification
Chaudhuri, Arindam - In: International Journal of Fuzzy System Applications (IJFSA) 5 (2016) 2, pp. 26-53
In this paper, classification task is performed by FRSVM. It is variant of FSVM and MFSVM. Fuzzy rough set takes care …
Persistent link: https://www.econbiz.de/10012044797
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A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes-Oxley Act
Davalos, Sergio; Feroz, Ehsan H. - In: Intelligent systems in accounting, finance & management 29 (2022) 1, pp. 19-40
Persistent link: https://www.econbiz.de/10013274235
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A majority vote based classifier ensemble for web service classification
Qamar, Usman; Niza, Rozina; Bashir, Saba; Khan, Farhan … - In: Business & information systems engineering : BISE ; the … 58 (2016) 4, pp. 249-259
Persistent link: https://www.econbiz.de/10011595258
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Depth-based support vector classifiers to detect data nests of rare events
Dyckerhoff, Rainer; Stenz, Hartmut Jakob - In: International journal of computational economics and … 11 (2021) 2, pp. 107-142
Persistent link: https://www.econbiz.de/10012507582
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Wavelet decomposition and support vector machine for fault diagnosis of monoblock centrifugal pump
Muralidharan, V.; Sugumaran, V.; Sakthivel, N.R. - In: International Journal of Data Analysis Techniques and … 3 (2011) 2, pp. 159-177
presents the use of support vector machine (SVM) algorithm for fault diagnosis through discrete wavelet features extracted from … vibration signals of good and faulty conditions of the components of centrifugal pump. The classification accuracies were … computed for different types of classifiers such as artificial neural network (ANN), support vector machine (SVM) and J48 …
Persistent link: https://www.econbiz.de/10009352827
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Bio-inspired intelligence for credit scoring
Goletsis, Yorgos; Exarchos, Themis P.; Katsis, Christos D. - In: International Journal of Financial Markets and Derivatives 2 (2011) 1/2, pp. 32-49
The application of quantitative techniques for the determination of credit worthiness, i.e., the credit scoring, is a major research field for bankers and academics as it can bring about significant savings to finance institutions whilst minimising their exposure to risk. In the current work,...
Persistent link: https://www.econbiz.de/10010670191