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Computational learning of the conditional phase-type (C-Ph) distribution : learning C-Ph distributions
Marshall, Adele H.; Shaw, Barry - In: Computational Management Science : CMS 11 (2014) 1/2, pp. 139-155
Persistent link: https://www.econbiz.de/10010251205
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Evaluation of machine learning tools for distinguishing fraud from error
Zhang, Mei - In: Journal of business & economics research 11 (2013) 9, pp. 393-400
Persistent link: https://www.econbiz.de/10010198482
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Multi-stage dynamic ensemble selection using heterogeneous learning algorithms : application on classification problems
Aziz, Nabiha; Farah, Nadir; Khadir, Mohamed Tarek - In: International journal of knowledge management studies : … 6 (2015) 1, pp. 16-30
Persistent link: https://www.econbiz.de/10011539454
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Effective active learning strategies for the use of large-margin classifiers in semantic annotation : an optimal parameter discovery perspective
Xu, Kaiquan; Liao, Stephen Shaoyi; Lau, Raymond Yiu Keung; … - In: INFORMS journal on computing : JOC 26 (2014) 3, pp. 461-483
Persistent link: https://www.econbiz.de/10010399813
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Consumer preference elicitation of complex products using fuzzy support vector machine active learning
Huang, Dongling; Luo, Lan - In: Marketing science : the marketing journal of the … 35 (2016) 3, pp. 445-464
Persistent link: https://www.econbiz.de/10011498939
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Learning context-sensitive domain ontologies from folksonomies : a cognitively motivated method
Lau, Raymond Yiu Keung; Zhao, J. Leon; Zhang, Wenping; … - In: INFORMS journal on computing : JOC 27 (2015) 3, pp. 561-578
Persistent link: https://www.econbiz.de/10011387603
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Prediction of stock market direction : application of machine learning models
Dimingo, Roselyn; Muteba Mwamba, John; Bonga-Bonga, Lumengo - In: Economia internazionale 74 (2021) 4, pp. 499-536
Persistent link: https://www.econbiz.de/10013164505
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What can we learn from what a machine has learned? : interpreting credit risk machine learning models
Bharodia, Nehalkumar; Chen, Wei - In: The journal of risk model validation 15 (2021) 2, pp. 1-22
Persistent link: https://www.econbiz.de/10012817198
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Credit scoring by one-class classification driven dynamical ensemble learning
Li, Hao; Qiu, Hao; Sun, Shu; Chang, Jun; Tu, Wenting - In: Journal of the Operational Research Society 73 (2022) 1, pp. 181-190
Persistent link: https://www.econbiz.de/10012872898
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Forecasting social unrest : a machine learning approach
Redl, Chris; Hlatshwayo, Sandile - 2021
We produce a social unrest risk index for 125 countries covering a period of 1996 to 2020. The risk of social unrest is based on the probability of unrest in the following year derived from a machine learning model drawing on over 340 indicators covering a wide range of macro-financial,...
Persistent link: https://www.econbiz.de/10012796240