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  • Search: subject:"Ensemble model"
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Year of publication
Subject
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Beta boost 2 Credit risk 2 Forecasting model 2 Kreditrisiko 2 Prognoseverfahren 2 beta distribution 2 big data 2 credit scoring 2 ensemble model 2 Agrarkredit 1 Agricultural credit 1 Artificial intelligence 1 Bestandsmanagement 1 Beta risk 1 Betafaktor 1 Big Data 1 Big data 1 Credit rating 1 Data Mining 1 Data mining 1 Demand 1 Demand prediction 1 Energieprognose 1 Energy forecast 1 Ensemble forecasts 1 Ensemble model 1 Ensemble model output statistics 1 Farmers 1 Forecast 1 Hybrid ensemble model 1 Innovation management 1 Innovationsmanagement 1 Interpretation 1 Inventory management 1 Inventory model 1 Inventory optimization 1 Kreditwürdigkeit 1 Künstliche Intelligenz 1 Lagerhaltungsmodell 1 Lagermanagement 1
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Online availability
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Free 5 CC license 1
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
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Working Paper 3 Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 5
Author
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Zieba, Maciej 2 Abedin, Mohammad Zoynul 1 Alonzo, Bastien 1 Apichottanakul, Arthit 1 Chai, Nana 1 Drobinski, Philippe 1 Härdle, Wolfgang 1 Härdle, Wolfgang Karl 1 Plougonven, Riwal 1 Shi, Baofeng 1 Sirawadee Arunyanart 1 Sukolkit, Nonthaphat 1 Tankov, Peter 1 Yang, Lian 1
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Published in...
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Journal of open innovation : technology, market, and complexity 1 Pacific-Basin finance journal 1 SFB 649 Discussion Paper 1 SFB 649 discussion paper 1 Série des documents de travail 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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Farmers' credit risk evaluation with an explainable hybrid ensemble approach : a closer look in microfinance
Chai, Nana; Abedin, Mohammad Zoynul; Yang, Lian; Shi, … - In: Pacific-Basin finance journal 89 (2025), pp. 1-20
Persistent link: https://www.econbiz.de/10015325143
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An open innovative inventory management based demand forecasting approach for the steel industry
Sukolkit, Nonthaphat; Sirawadee Arunyanart; … - In: Journal of open innovation : technology, market, and … 10 (2024) 4, pp. 1-10
This research focuses on accurately forecasting steel wire mesh demand to ensure timely order fulfillment. Various univariate time series forecasting methods were employed, including Prophet, Support Vector Regression (SVR), 1-Dimensional Convolutional Neural Network (1D-CNN), Recurrent Neural...
Persistent link: https://www.econbiz.de/10015185080
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Probabilistic forecasting of the wind energy resource at the monthly to seasonal scale
Alonzo, Bastien; Drobinski, Philippe; Plougonven, Riwal; … - 2017
Persistent link: https://www.econbiz.de/10012200351
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Beta-boosted ensemble for big credit scoring data
Zieba, Maciej; Härdle, Wolfgang Karl - 2016
In this work we present a novel ensemble model for a credit scoring problem. The main idea of the approach is to … construct base learners that constitute the final ensemble model. The sampling procedure is performed on two separate ranking …
Persistent link: https://www.econbiz.de/10011580450
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Cover Image
Beta-boosted ensemble for big credit scoring data
Zieba, Maciej; Härdle, Wolfgang - 2016
In this work we present a novel ensemble model for a credit scoring problem. The main idea of the approach is to … construct base learners that constitute the final ensemble model. The sampling procedure is performed on two separate ranking …
Persistent link: https://www.econbiz.de/10011572087
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