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Year of publication
Subject
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factorisation machines 2 machine learning 2 Artificial intelligence 1 Credit rating 1 Credit risk 1 Kreditrisiko 1 Kreditwürdigkeit 1 Künstliche Intelligenz 1 Logistics 1 Logistik 1 Logit model 1 Logit-Modell 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Regression analysis 1 Regressionsanalyse 1 Theorie 1 Theory 1 credit scoring 1 interaction 1 latent characteristics 1 logistic regression 1 logit loss 1 maximum likelihood estimation 1 random forests 1 recommender system 1 regression model 1
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Online availability
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CC license 1 Free 1 Undetermined 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2
Author
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De Jongh, Riaan 1 Goto, Masayuki 1 Mikawa, Kenta 1 Slabber, Erika 1 Sugisaki, Tomoya 1 Verster, Tanja 1
Published in...
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Asian Journal of Management Science and Applications 1 Risks : open access journal 1
Source
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ECONIS (ZBW) 2
Showing 1 - 2 of 2
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Some insights about the applicability of logistic factorisation machines in banking
Slabber, Erika; Verster, Tanja; De Jongh, Riaan - In: Risks : open access journal 11 (2023) 3, pp. 1-21
alternative techniques, such as deep learning neural networks, random forests, and factorisation machines. While neural networks … and random forests form part of the practitioner's model-building toolkit, factorisation machines are seldom used. In this … paper, we investigate the applicability of factorisation machines to some binary classification problems in banking. To …
Persistent link: https://www.econbiz.de/10014246272
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Factorisation machines considering the latent characteristics behind target data
Sugisaki, Tomoya; Mikawa, Kenta; Goto, Masayuki - In: Asian Journal of Management Science and Applications 5 (2020) 2, pp. 111-128
Persistent link: https://www.econbiz.de/10012504075
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