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Forecasting the insolvency of US banks using Support Vector Machines (SVMs) based on local learning feature selection
Papadimitriou, Theophilos; Gkonkas, Periklēs; … - In: International journal of computational economics and … 3 (2013) 1/2, pp. 83-90
Persistent link: https://www.econbiz.de/10010250320
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Machine learning-based classifiers ensemble for credit risk assessment
Pandey, Trilok Nath; Jagadev, Alok Kumar; Choudhury, D.; … - In: International journal of electronic finance : IJEF 7 (2013) 3/4, pp. 227-249
Persistent link: https://www.econbiz.de/10010400393
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Optimal feature selection in intrusion detection using SVM-CA
Sugi, S. Shinly Swarna; Ratna, S. Raja - In: International journal of networking and virtual … 25 (2021) 2, pp. 103-113
Persistent link: https://www.econbiz.de/10012672108
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Comparison of automated leaf recognition techniques
Hassan, Mahmudul; Maji, Arnab Kumar - In: International journal of intelligent enterprise 8 (2021) 2/3, pp. 205-214
Persistent link: https://www.econbiz.de/10012512542
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Understanding the characteristics of financial time series through neural network and SVM approaches
Moradi, Arash; Alizadeh, Mojtaba; Samadi, Masoud; … - In: International journal of electronic finance : IJEF 9 (2016/2019) 3, pp. 202-216
Persistent link: https://www.econbiz.de/10012050809
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A study of feature selection techniques for predicting customer retention in telecommunication sector
Sivasankar, E.; Vijaya, J. - In: International journal of business information systems : … 31 (2019) 1, pp. 1-26
Persistent link: https://www.econbiz.de/10012062925
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Prediction of carotid atherosclerosis in patients with impaired glucose tolerance : a performance analysis of machine learning techniques
Maruthamuthu, A.; Punniyamoorthy, Murugesan; Paluru, … - In: International journal of enterprise network management 10 (2019) 2, pp. 109-117
Persistent link: https://www.econbiz.de/10012106640
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Accuracy analysis of various classification algorithms for used land
Kumar, N. Suresh; Arun, M. - In: International journal of enterprise network management 7 (2016) 2, pp. 113-132
Persistent link: https://www.econbiz.de/10011641907
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Failure prediction models : development and comparison between the multivariate discriminant analysis and the support vector machine for Tunisian companies
Mraihi, Fayçal; Kanzari, Inane - In: International journal of entrepreneurship and small … 43 (2021) 3, pp. 411-437
Persistent link: https://www.econbiz.de/10012598559
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A novel efficient control chart to monitor the mean vector and variance-covariance matrix using support vector machine and tuned kernel function
Azar, Amir; Raissi, Sadigh - In: International journal of services and operations … 43 (2022) 1, pp. 52-71
Persistent link: https://www.econbiz.de/10013552864