Search Results - subject:"Support Vector Machine"

Gaussian Mixture Support Vector Machines for Credit Scoring

Shadkam, Saeed; Saheb, Shima; Arian, Hamid; Talebian, Masoud - 2022

Credit scoring assesses the risk associated with lending to individuals or institutions and is of great importance. To do the scoring, classification methods, based on machine learning, classify the individuals into creditworthy and uncreditworthy. We utilize both application scoring and...

Persistent link: https://www.econbiz.de/10013291850

A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description

Yuan, Kunpeng; Chi, Guotai; Zhou, Ying; Yin, Hailei - In: Research in international business and finance 59 (2022), pp. 1-24

Persistent link: https://www.econbiz.de/10013402102

Multi-class Bayesian support vector data description with anomalies

Turkoz, Mehmet; Kim, Sangahn - In: Probability methods in business and industry in honor …, (pp. 287-312). 2022

Persistent link: https://www.econbiz.de/10013475395

Classification of m-payment users' behavior using machine learning models

Aslam, Faheem; Awan, Tahir Mumtaz; Fatima, Tayyba - In: Journal of financial services marketing 27 (2022) 3, pp. 264-275

Persistent link: https://www.econbiz.de/10013390983

Support vector machines as Bayes' classifiers

Jackson, Peter L. - In: Operations research letters 50 (2022) 5, pp. 423-429

Persistent link: https://www.econbiz.de/10013449397

Application and performance of data mining techniques in stock market : a review

Kaur, Jasleen; Dharni, Khushdeep - In: Intelligent systems in accounting, finance & management 29 (2022) 4, pp. 219-241

Persistent link: https://www.econbiz.de/10014245473

Intrinsic decompositions in gold forecasting

Plakandaras, Vasilios; Ji, Qiang - In: Journal of commodity markets 28 (2022), pp. 1-15

Persistent link: https://www.econbiz.de/10014335247

A comparison of SVR and NARX in financial time series forecasting

Tas, Engin; Atli, Ayca Hatice - In: International journal of computational economics and … 12 (2022) 3, pp. 303-320

Persistent link: https://www.econbiz.de/10013253303

A mixed integer linear programming support vector machine for cost-effective group feature selection : branch-cut-and-price approach

Lee, In Gyu; Yoon, Sang Won; Won, Daehan - In: European journal of operational research : EJOR 299 (2022) 3, pp. 1055-1068

Persistent link: https://www.econbiz.de/10013207225

Banks to basics! : why banking regulation should focus on equity

Durand, Pierre; LeQuang, Gaëtan - In: European journal of operational research : EJOR 301 (2022) 1, pp. 349-372

Persistent link: https://www.econbiz.de/10013207381

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