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  • Search: subject:"AdaBoost"
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Year of publication
Subject
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AdaBoost 20 Artificial intelligence 13 Forecasting model 13 Künstliche Intelligenz 13 Prognoseverfahren 13 machine learning 7 Theorie 6 Theory 6 Algorithm 5 Algorithmus 5 Insolvency 5 Insolvenz 5 random forest 5 XGBoost 4 AdaBoost loss function 3 Data Mining 3 Data mining 3 Decision tree 3 Machine Learning 3 Machine learning 3 Random forest 3 SMOTE 3 SVM 3 adaboost 3 influence function 3 kernel logistic regression 3 robustness 3 sensitivity curve 3 statistical learning 3 student attrition 3 support vector machine 3 total variation 3 AdaBoost algorithm 2 AdaBoost.M1 2 Adaboost 2 China 2 Classification 2 Decaying Convergence Rate 2 Financial analysis 2 Learning process 2
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Online availability
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Undetermined 22 Free 17 CC license 2
Type of publication
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Article 29 Book / Working Paper 9 Other 1
Type of publication (narrower categories)
All
Article in journal 18 Aufsatz in Zeitschrift 18 Working Paper 7 Arbeitspapier 5 Graue Literatur 5 Non-commercial literature 5 Article 2 Aufsatz im Buch 1 Book section 1 Conference Paper 1 research-article 1
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Language
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English 31 Undetermined 8
Author
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Berens, Johannes 3 Burghoff, Julian 3 Christmann, Andreas 3 Oster, Simon 3 Schneider, Kerstin 3 Steinwart, Ingo 3 Bae, Sangil 2 Chlebus, Marcin 2 Görtz, Simon 2 Jeong, Minsoo 2 Jeyanthi, P. Mary 2 Oberoi, Sarbjit Singh 2 Shrivastava, Santosh Kumar 2 Ai, Wenguo 1 Baek, Jaeseung 1 Baskar, S. 1 Boucher, Jean-Philippe 1 Brygała, Magdalena 1 Cao, Tong 1 Choi, Jaekyung 1 Chuan, Yijian 1 Cortés, Esteban Alfaro 1 Creaer, German 1 Creamer, Germán 1 Deshpande, Amruta 1 Dey, Shubhamoy 1 Dhote, Sunita 1 Duan, Shaodong 1 Dutta, Mala 1 Elangovan, N. 1 Freund, Yoav 1 Gan, Kai 1 Gray, J. 1 Hasan, Yahya Abu 1 Hato, Eiji 1 He, Zhenrui 1 Hung, Wei-Zhan 1 Jain, Arnav 1 Jeong, Myong Kee 1 Jo, Yong Hwan 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Published in...
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Journal of information & knowledge management : JIKM 2 Working papers 2 ASTIN bulletin : the journal of the International Actuarial Association 1 Beiträge zur Jahrestagung des Vereins für Socialpolitik 2018: Digitale Wirtschaft - Session: Education II 1 Business and Economic Research : BER 1 CESifo Working Paper 1 CESifo working papers 1 Cogent Economics & Finance 1 Cogent economics & finance 1 Computational Economics 1 Computational Statistics 1 Computational economics 1 Data science and service research discussion paper 1 Data-Driven Decision Making 1 East Asian Economic Review (EAER) 1 East Asian economic review 1 Economics and business review 1 Electronic commerce research 1 Finance research letters 1 Global Knowledge, Memory and Communication 1 International Advances in Economic Research 1 International journal of financial engineering 1 International journal of production research 1 Inventi impact: microfinance & banking 1 Journal of Asian Scientific Research 1 Journal of forecasting 1 LogForum : elektroniczne czasopismo naukowe z dziedziny logistyki 1 Operations research forum 1 Physica A: Statistical Mechanics and its Applications 1 Risk management : a journal of risk, crisis and disaster 1 Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1 The North American journal of economics and finance : a journal of financial economics studies 1 Transportation 1 Water Resources Management 1
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Source
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ECONIS (ZBW) 24 RePEc 8 EconStor 5 BASE 1 Other ZBW resources 1
Showing 1 - 10 of 39
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The application of AdaBoost.M1 based on Ant Colony Optimization to classify the risk of delay in the pharmaceutical supply chain
Wyrembek, Mateusz - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 19 (2023) 2, pp. 263-275
Persistent link: https://www.econbiz.de/10014450171
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Identify arbitrage using machine learning on multi-stock pair trading price forecasting
Zhang, Zhijie - 2022
Persistent link: https://www.econbiz.de/10013445700
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Multi-source AdaBoost with cross-weight method for virtual metrology in semiconductor manufacturing
Wang, Tianhui; Baek, Jaeseung; Jeong, Myong Kee; Seo, … - In: International journal of production research 62 (2024) 19, pp. 7114-7129
Persistent link: https://www.econbiz.de/10015084969
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A comparative analysis of machine learning algorithms for image classification : evaluating performance
Kapse, Manohar; Elangovan, N.; Lalkiya, M.; Deshpande, … - In: Data-Driven Decision Making, (pp. 59-75). 2024
Persistent link: https://www.econbiz.de/10014633436
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Personal bankruptcy prediction using machine learning techniques
Brygała, Magdalena; Korol, Tomasz - In: Economics and business review 10 (2024) 2, pp. 118-142
Persistent link: https://www.econbiz.de/10014636453
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Predicting football outcomes from Spanish league using machine learning models
Lewandowski, Michał; Chlebus, Marcin - 2021
Persistent link: https://www.econbiz.de/10012816703
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Forecasting KOSPI Return Using a Modified Stochastic AdaBoosting
Bae, Sangil; Jeong, Minsoo - In: East Asian Economic Review (EAER) 25 (2021) 4, pp. 403-424
AdaBoost tweaks the sample weight for each training set used in the iterative process, however, it is demonstrated that … this study, we propose a novel way to improve the performance of the existing AdaBoost algorithm by employing heterogeneous …
Persistent link: https://www.econbiz.de/10015397867
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Forecasting KOSPI return using a modified stochastic AdaBoosting
Bae, Sangil; Jeong, Minsoo - In: East Asian economic review 25 (2021) 4, pp. 403-424
Persistent link: https://www.econbiz.de/10014230453
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A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
Li, Zhongfei; Gan, Kai; Sun, Shaolong; Wang, Shouyang - In: Journal of forecasting 42 (2023) 1, pp. 154-175
Persistent link: https://www.econbiz.de/10013465774
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Digital management mode of enterprise human resources under the background of digital transformation
Wang, Yi; Li, Lei - In: Journal of information & knowledge management : JIKM 22 (2023) 4, pp. 1-17
Persistent link: https://www.econbiz.de/10014388803
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