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  • Search: subject:"K-fold cross-validation"
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Year of publication
Subject
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Theorie 5 Theory 5 K-fold cross-validation 4 Bayes-Statistik 3 Bayesian inference 3 Forecasting model 3 Prognoseverfahren 3 Artificial intelligence 2 Bayesian Hierarchical Finite Mixture Models 2 China 2 Chinese Relative Clauses 2 Direct-Access Model 2 Estimation theory 2 K-fold Cross-Validation 2 Künstliche Intelligenz 2 Machine learning 2 Modellierung 2 Psycholinguistics 2 Schätztheorie 2 Scientific modelling 2 Sentence Comprehension 2 Statistical distribution 2 Statistische Verteilung 2 Approximate factor models 1 Außenhandel 1 Bagging 1 Bayesian estimation 1 Bilateral trade 1 Brand 1 CAPM 1 Central limit theorem 1 Competition 1 Consistency 1 Consumer behaviour 1 Coordinate descent algorithm 1 Credit risk 1 Criterion of a.s. estimators convergence 1 Currency union 1 Dimensionality reduction of factors 1 E-commerce 1
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Online availability
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Undetermined 6 Free 2
Type of publication
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Article 7 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2
Language
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English 8 Undetermined 1
Author
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Chopin, Nicolas 2 Nicenboim, Bruno 2 Ryder, Robin 2 Vasishth, Shravan 2 Boxell, Levi 1 Bulinski, Alexander 1 Chen, Hui 1 Dinh Tran Ngoc Huy 1 Erdem, Tülin 1 Fang, Minjiang 1 Lainder, A. David 1 Martinovici, Ana 1 Olson, Luke M. 1 Pieters, Rik 1 Qi, Min 1 Rakitko, Alexander 1 Wei, Jie 1 Wolfinger, Russell D. 1 Zhang, Xiaofei 1 Zhao, Xinlei 1
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Published in...
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Série des documents de travail 2 Atlantic economic journal : AEJ 1 Economics letters 1 International journal of forecasting 1 Journal of Multivariate Analysis 1 Journal of empirical finance 1 Journal of marketing research 1 The journal of high technology management research 1
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Source
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ECONIS (ZBW) 8 RePEc 1
Showing 1 - 9 of 9
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Machine learning loss given default for corporate debt
Olson, Luke M.; Qi, Min; Zhang, Xiaofei; Zhao, Xinlei - In: Journal of empirical finance 64 (2021), pp. 144-159
Persistent link: https://www.econbiz.de/10013259408
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Attention trajectories capture utility accumulation and predict brand choice
Martinovici, Ana; Pieters, Rik; Erdem, Tülin - In: Journal of marketing research 60 (2023) 4, pp. 625-645
Persistent link: https://www.econbiz.de/10014322137
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Building a cross-border e-commerce talent training platform based on logistic regression model
Fang, Minjiang; Dinh Tran Ngoc Huy - In: The journal of high technology management research 34 (2023) 2, pp. 1-11
Persistent link: https://www.econbiz.de/10014486786
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Forecasting with gradient boosted trees : augmentation, tuning, and cross-validation strategies : winning solution to the M5 uncertainty competition
Lainder, A. David; Wolfinger, Russell D. - In: International journal of forecasting 38 (2022) 4, pp. 1426-1433
Persistent link: https://www.econbiz.de/10014381101
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Bayesian hierarchical finite mixture models of reading times : a case study
Vasishth, Shravan; Nicenboim, Bruno; Chopin, Nicolas; … - 2017 - Draft of July 12, 2017
Persistent link: https://www.econbiz.de/10012198626
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Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process : a case study involving Chinese relative clauses
Vasishth, Shravan; Chopin, Nicolas; Ryder, Robin; … - 2017
Persistent link: https://www.econbiz.de/10012198645
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Determining the number of factors in approximate factor models by twice K-fold cross validation
Wei, Jie; Chen, Hui - In: Economics letters 191 (2020), pp. 1-6
Persistent link: https://www.econbiz.de/10012508554
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MDR method for nonbinary response variable
Bulinski, Alexander; Rakitko, Alexander - In: Journal of Multivariate Analysis 135 (2015) C, pp. 25-42
means of a prediction algorithm and K-fold cross-validation procedure is established. It is demonstrated that imposed …
Persistent link: https://www.econbiz.de/10011189573
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K-fold cross-validation and the gravity model of bilateral trade
Boxell, Levi - In: Atlantic economic journal : AEJ 43 (2015) 2, pp. 289-300
Persistent link: https://www.econbiz.de/10011326158
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