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  • Search: subject:"Gradient boosting"
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Year of publication
Subject
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Artificial intelligence 85 Künstliche Intelligenz 85 Forecasting model 81 Prognoseverfahren 81 gradient boosting 48 Theorie 42 Theory 42 Gradient boosting 37 machine learning 37 Machine learning 31 Neural networks 25 Neuronale Netze 25 Insolvency 16 Insolvenz 16 random forest 15 Random forest 14 Regression analysis 14 Regressionsanalyse 14 Credit rating 11 Decision tree 11 Entscheidungsbaum 11 Kreditwürdigkeit 11 Algorithm 9 Algorithmus 9 Capital income 9 Credit risk 9 Extreme gradient boosting 9 Kapitaleinkommen 9 Kreditrisiko 9 random forests 9 Data Mining 7 Data mining 7 Mustererkennung 7 Pattern recognition 7 deep learning 7 Estimation theory 6 Gradient boosting machines 6 Learning process 6 Lernprozess 6 Portfolio selection 6
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Online availability
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Undetermined 87 Free 73 CC license 20
Type of publication
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Article 131 Book / Working Paper 34
Type of publication (narrower categories)
All
Article in journal 114 Aufsatz in Zeitschrift 114 Working Paper 29 Graue Literatur 23 Non-commercial literature 23 Arbeitspapier 22 Article 9 research-article 3 Aufsatz im Buch 1 Book section 1 Collection of articles written by one author 1 Hochschulschrift 1 Sammlung 1
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Language
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English 154 Undetermined 8 Spanish 2 French 1
Author
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Bourassa, Steven C. 5 Hoesli, Martin 5 Mayer, Michael 5 Scognamiglio, Donato 4 Simon, Thorsten 4 Umlauf, Nikolaus 4 Zeileis, Achim 4 Carmona, Pedro 3 Do, Xuan Anh 3 Grebenar, Tomislav 3 Hrbić, Rajka 3 Huck, Nicolas 3 Jones, Stewart 3 Krauss, Christopher 3 Melsom, Borger 3 Vennerød, Christian Bakke 3 Westgaard, Sjur 3 Ben Taieb, Souhaib 2 Berndt, Mihály 2 Brédart, Xavier 2 Burger, Csaba 2 DeMiguel, Victor 2 Denuit, Michel 2 Duval, Francis 2 Fabsic, Peter 2 Ghosh, Indranil 2 Gil-Bazo, Javier 2 Hyndman, Rob J. 2 Jaquart, Patrick 2 Jiang, Ping 2 Kagie, M. 2 Kagie, Martijn 2 Kumar, Pradeep 2 Lange, Petter Eilif de 2 Lee, Simon CK 2 Levantesi, Susanna 2 Lextrait, Bastien 2 Liu, Jiaming 2 Liu, Zhenkun 2 Lloyd, James Robert 2
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Institution
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Erasmus University Rotterdam, Econometric Institute 2 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 2
Published in...
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Computational economics 6 European journal of operational research : EJOR 6 International journal of forecasting 6 Journal of Risk and Financial Management 6 Journal of risk and financial management : JRFM 6 Risks : open access journal 6 Journal of forecasting 5 Research paper series / Swiss Finance Institute 4 Finance research letters 3 Scandinavian actuarial journal 3 The Journal of finance and data science : JFDS 3 Transportation research / E : an international journal 3 Applied economics 2 Decision analytics journal 2 Econometric Institute Report 2 Econometric Institute Research Papers 2 Energy economics 2 INFORMS journal on applied analytics 2 International Journal of Energy Economics and Policy : IJEEP 2 International Journal of Forecasting 2 Journal of air transport management : a new international journal of research, policy and practice 2 Journal of business research : JBR 2 Risks 2 The journal of credit risk : published quarterly by Incisive Media 2 Working Papers in Economics and Statistics 2 Working papers in economics and statistics 2 ASTIN bulletin : the journal of the International Actuarial Association 1 AStA Advances in Statistical Analysis 1 Abacus : a journal of accounting, finance and business studies 1 Academia : revista Latinoamericana de administración 1 Accounting Research Journal 1 Advances in business and management forecasting 1 Analytics Enabled Decision Making 1 Asia-Pacific journal of financial studies 1 Barcelona GSE working paper series : working paper 1 Benchmarking : an international journal 1 CREATES research paper 1 Computational Management Science : CMS 1 Corporate governance : international journal of business in society 1 Discussion paper 1
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Source
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ECONIS (ZBW) 138 EconStor 16 RePEc 8 Other ZBW resources 3
Showing 61 - 70 of 165
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Predicting gold and silver price direction using tree-based classifiers
Sadorsky, Perry A. - In: Journal of risk and financial management : JRFM 14 (2021) 5, pp. 1-21
(bagging, stochastic gradient boosting, random forests) to predict the price direction of gold and silver exchange traded funds …. Decision tree bagging, stochastic gradient boosting, and random forests predictions of gold and silver price direction are much … 55% and 60%. Stochastic gradient boosting accuracy is a few percentage points less than that of random forests for …
Persistent link: https://www.econbiz.de/10012533982
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The application of machine learning algorithms for spatial analysis : predicting of real estate prices in Warsaw
Siwicki, Dawid - 2021
Persistent link: https://www.econbiz.de/10012512657
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Scaling up SME's credit scoring scope with LightGBM
Lextrait, Bastien - 2021
Persistent link: https://www.econbiz.de/10012657831
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Assessment of readiness of Croatian companies to introduce I4.0 technologies
Hrbić, Rajka; Grebenar, Tomislav - 2021
Persistent link: https://www.econbiz.de/10012792422
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Structured additive regression and tree boosting
Mayer, Michael; Bourassa, Steven C.; Hoesli, Martin; … - 2021 - Version of September 17, 2021
-wise gradient boosting, penalized least-squares, and deep learning. Using feature interaction constraints, we show that such models … can be implemented also by the gradient boosting powerhouses XGBoost and LightGBM, thereby benefiting from their excellent …
Persistent link: https://www.econbiz.de/10012800192
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Quantifying the drivers of residential housing demand – an interpretable machine learning approach
Cajias, Marcelo; Zeitler, Joseph-Alexander - In: Journal of European Real Estate Research 16 (2023) 2, pp. 172-199
. The authors apply state-of-the-art artificial intelligence, the eXtreme Gradient Boosting, to quantify factors that lead … as it considers standard regression models and an eXtreme Gradient Boosting (XGB or XGBoost) approach followed by a model …
Persistent link: https://www.econbiz.de/10014862744
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Second-hand vessel valuation : an extreme gradient boosting approach
Adland, Roar; Jia, Haiying; Harvei, Hans Christian Olsen; … - In: Maritime policy & management 50 (2023) 1, pp. 1-18
Persistent link: https://www.econbiz.de/10013532134
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Interpreting the prediction results of the tree-based gradient boosting models for financial distress prediction with an explainable machine learning approach
Liu, Jiaming; Li, Chengzhang; Ouyang, Peng; Liu, Jiajia; … - In: Journal of forecasting 42 (2023) 5, pp. 1112-1137
Persistent link: https://www.econbiz.de/10014338816
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Do gas price and uncertainty indices forecast crude oil prices? : fresh evidence through XGBoost modeling
Tissaoui, Kais; Zaghdoudi, Taha; Hakimi, Abdelaziz; … - In: Computational economics 62 (2023) 2, pp. 663-687
Persistent link: https://www.econbiz.de/10014382756
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A comparison of different rules on loans evaluation in peer-to-peer lending by gradient boosting models under moving windows with two timestamps
Zhou, Ligang; Ma, Chao - In: Computational economics 62 (2023) 4, pp. 1481-1504
Persistent link: https://www.econbiz.de/10014437382
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