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Modeling heterogeneity in firm-level return predictability with machine learning
Evgeniou, Theodoros; Guecioueur, Ahmed; Prieto, Rodolfo - 2020
Persistent link: https://www.econbiz.de/10012226172
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Process of building a dataset and classification of vark learning styles with machine learning and predictive analytics models
Krishnamoorthy, D.; Lokesh, Duvvuru - In: Journal of Contemporary Issues in Business and Government 26 (2020) 2, pp. 903-910
Persistent link: https://www.econbiz.de/10012543158
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Asset return prediction via machine learning
Zhang, Liangliang - In: Journal of mathematical finance 9 (2019) 4, pp. 691-697
Persistent link: https://www.econbiz.de/10012433454
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Detecting insurance fraud using supervised and unsupervised machine learning
Debener, Jörn; Heinke, Volker; Kriebel, Johannes - In: The journal of risk & insurance 90 (2023) 3, pp. 743-768
Persistent link: https://www.econbiz.de/10014364565
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When the U.S. catches a cold, Canada sneezes : a lower-bound tale told by deep learning
Lepetyuk, Vadym; Maliar, Lilia; Maliar, Serguei - 2019
Persistent link: https://www.econbiz.de/10012196854
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When the U.S. catches a cold, Canada sneezes : a lower-bound tale told by deep learning
Lepetyuk, Vadym; Maliar, Lilia; Maliar, Serguei - In: Journal of economic dynamics & control 117 (2020), pp. 1-37
Persistent link: https://www.econbiz.de/10012503249
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Systematic analysis of artificial intelligence in the era of industry 4.0
Chen, Weiru; He, Wu; Shen, Jiayue; Tian, Xin; Wang, Xianping - In: Journal of management analytics 10 (2023) 1, pp. 89-108
Persistent link: https://www.econbiz.de/10014251234
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Machine learning in finance : major applications, issues, metrics, and future trends
Al-Maskati, Nawaf - In: International journal of financial engineering 9 (2022) 3, pp. 2250010-1-2250010-32
Persistent link: https://www.econbiz.de/10013367620
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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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Use of prediction bias in active learning and its application to large variable annuity
Gweon, Hyukjun; Li, Shu; Xu, Yangxuan - In: Risks : open access journal 12 (2024) 6, pp. 1-14
. Successful application of active learning requires an effective metric in order to gauge the informativeness of data. Current …Given the computational challenges associated with valuing large variable annuity (VA) portfolios, a variety of data … mining frameworks, including metamodeling and active learning, have been proposed in recent years. Active learning, a …
Persistent link: https://www.econbiz.de/10014636846