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  • Search: subject:"Machine Learning"
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Year of publication
Subject
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Artificial intelligence 6,391 Künstliche Intelligenz 6,369 Machine learning 3,033 machine learning 2,867 Forecasting model 2,017 Prognoseverfahren 2,017 Theorie 1,318 Theory 1,316 Machine Learning 887 Algorithm 630 Algorithmus 629 Neural networks 597 Neuronale Netze 586 Learning process 509 Lernprozess 509 Big Data 431 Big data 424 Data Mining 404 Data mining 400 Portfolio selection 320 Portfolio-Management 320 Consumer behaviour 303 Konsumentenverhalten 303 Prognose 285 Forecast 283 Learning 264 Lernen 264 artificial intelligence 258 Classification 253 Risikomanagement 250 Risk management 250 Regression analysis 241 Regressionsanalyse 238 Social Web 236 Social web 236 Maschinelles Lernen 229 Klassifikation 226 Credit risk 225 Supply chain 218 Kreditrisiko 217
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Online availability
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Undetermined 3,980 Free 3,819 CC license 820
Type of publication
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Article 6,029 Book / Working Paper 2,020 Other 28
Type of publication (narrower categories)
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Article in journal 5,005 Aufsatz in Zeitschrift 5,005 Working Paper 1,488 Graue Literatur 1,200 Non-commercial literature 1,200 Arbeitspapier 1,105 Article 508 Aufsatz im Buch 196 Book section 196 Aufsatzsammlung 127 research-article 96 Hochschulschrift 93 Conference paper 56 Konferenzbeitrag 56 Konferenzschrift 37 Conference Paper 19 Thesis 14 Collection of articles of several authors 11 Sammelwerk 11 Collection of articles written by one author 8 Sammlung 8 review 7 review-article 7 Handbook 6 Handbuch 6 Research Report 6 Lehrbuch 5 technical-paper 5 Preprint 4 Festschrift 3 viewpoint 3 Amtliche Publikation 2 Amtsdruckschrift 2 Bibliografie enthalten 2 Bibliography included 2 Dissertation u.a. Prüfungsschriften 2 Fallstudiensammlung 2 Government document 2 case-report 2 Audio- / visual Ressource 1
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Language
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English 7,759 German 133 Undetermined 133 Spanish 29 French 11 Portuguese 7 Italian 3 Romanian 1 Chinese 1
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Author
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Lechner, Michael 43 Chernozhukov, Victor 22 Knaus, Michael C. 22 Gupta, Rangan 20 Brunori, Paolo 19 Papadimitriou, Theophilos 18 Valente, Marica 18 Plakandaras, Vasilios 17 Ullrich, Hannes 17 Alonso, Andrés 16 Hinz, Oliver 16 Strittmatter, Anthony 15 Ślepaczuk, Robert 15 Gkonkas, Periklēs 14 Goller, Daniel 14 Lessmann, Stefan 14 Lodi, Andrea 14 Bertsimas, Dimitris 13 Carbó, José Manuel 13 Fernández-Villaverde, Jesús 13 Ribers, Michael 13 Vasarhelyi, Miklos A. 13 Andres, Maximilian 12 Brintrup, Alexandra 12 Cajias, Marcelo 12 Chlebus, Marcin 12 Davillas, Apostolos 12 Gründler, Klaus 12 Jones, Andrew M. 12 Newey, Whitney K. 12 Piasenti, Stefano 12 Pornsit Jiraporn 12 Bollens, Joost 11 Chen, Xi 11 Cockx, Bart 11 Goulet Coulombe, Philippe 11 Grajzl, Peter 11 Kräussl, Roman 11 Larsen, Vegard Høghaug 11 Murrell, Peter 11
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Institution
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National Bureau of Economic Research 10 Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam 4 Logos Verlag Berlin 4 Verlag Dr. Kovač 4 Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 3 Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 3 Springer Fachmedien Wiesbaden 3 AFRICOMM <16., 2024, Abidjan> 2 American Association for Artificial Intelligence 2 Carl Hanser Verlag 2 Department of Economics, Democritus University of Thrace 2 Edward Elgar Publishing 2 Eric Cuvillier <Firma> 2 Fraunhofer IRB-Verlag 2 ICMarkTech <7., 2025, Valencia> 2 IGI Global 2 Institut für Finanzstabilität 2 International Conference on Computational Intelligence in Communications and Business Analytics <6., 2024, Patna> 2 Provozně ekonomická fakulta, Mendelova Univerzita v Brnĕ 2 Society for Computational Economics - SCE 2 Technische Universität Braunschweig 2 UNDP 2 Universität Mannheim 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 Walter de Gruyter GmbH & Co. KG 2 Agricultural Land Markets - Efficiency and Regulation 1 BIDA <2., 2025, Bangalore> 1 Books on Demand GmbH <Norderstedt> 1 CCF China Digital Finance Conference <2025, Schanghai> 1 California Agricultural Experiment Station / Department of Agricultural and Resource Economics 1 Center for Biological and Computational Learning 1 Conference on Computational Learning Theory <13, 2000, Palo Alto, Calif.> 1 Conference on Computational Learning Theory <8, 1995, Santa Cruz, Calif.> 1 Department of Economics and Related Studies, University of York 1 Department of Economics, Faculty of Economic and Management Sciences 1 Department of Social and Decision Sciences, Carnegie Mellon University 1 Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Facoltà di Ingegneria dell'Informazione Informatica e Statistica 1 Dipartimento di Management, Università Ca' Foscari Venezia 1 ECML <10, 1998, Chemnitz> 1 EnviroInfo <Veranstaltung> <38., 2024, Kairo> 1
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Published in...
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European journal of operational research : EJOR 112 Finance research letters 104 International journal of production research 101 Computational economics 98 Risks : open access journal 83 Discussion paper series 76 International journal of forecasting 72 Technological forecasting & social change : an international journal 67 Management science : journal of the Institute for Operations Research and the Management Sciences 66 Energy economics 64 IZA Discussion Papers 63 Journal of forecasting 61 Operations research 60 Discussion papers / CEPR 57 Journal of business research : JBR 57 International review of financial analysis 53 CESifo working papers 50 CESifo Working Paper 46 Journal of Risk and Financial Management 43 Journal of risk and financial management : JRFM 43 Working paper 42 Working papers 41 Discussion paper 39 Journal of Intelligent Manufacturing 37 Quantitative finance 37 Risks 36 Financial innovation : FIN 34 International journal of production economics 34 Logistics 34 Marketing science 34 Research in international business and finance 34 Applied economics 33 Computers & operations research : and their applications to problems of world concern ; an international journal 32 Journal of information & knowledge management : JIKM 31 International Journal of Financial Studies : open access journal 29 Computers & operations research : an international journal 27 Health care management science : a new journal serving the international health care management community 27 Journal of the Operational Research Society 27 Pacific-Basin finance journal 27 Socio-economic planning sciences : the international journal of public sector decision-making 27
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Source
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ECONIS (ZBW) 6,735 EconStor 931 Other ZBW resources 225 RePEc 130 BASE 39 USB Cologne (EcoSocSci) 17
Showing 7,921 - 7,930 of 8,077
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More than a Feeling: Personality and Congressional Behavior
Hollibaugh, Gary; Klingler, Jonathan; Ramey, Adam - Institute for Advanced Study in Toulouse (IAST), … - 2014
Political scientists have long considered the primacy of ideology, party affiliation, and constituency preferences in determining how members of the U.S. Congress make decisions. At the same time, psychologists have held that individuals' immutable personality traits play a central role in...
Persistent link: https://www.econbiz.de/10010823141
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A comparative study of sound and vibration signals in detection of rotating machine faults using support vector machine and independent component analysis
Saimurugan, M.; Ramachandran, K.I. - In: International Journal of Data Analysis Techniques and … 6 (2014) 2, pp. 188-204
, the application of machine learning for fault diagnosis is gaining momentum. This paper presents the fault diagnosis of …
Persistent link: https://www.econbiz.de/10010816809
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Tight lower bound on the probability of a binomial exceeding its expectation
Greenberg, Spencer; Mohri, Mehryar - In: Statistics & Probability Letters 86 (2014) C, pp. 91-98
We give the proof of a tight lower bound on the probability that a binomial random variable exceeds its expected value. The inequality plays an important role in a variety of contexts, including the analysis of relative deviation bounds in learning theory and generalization bounds for unbounded...
Persistent link: https://www.econbiz.de/10010743561
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A gradient boosting approach to the Kaggle load forecasting competition
Ben Taieb, Souhaib; Hyndman, Rob J. - In: International Journal of Forecasting 30 (2014) 2, pp. 382-394
We describe and analyse the approach used by Team TinTin (Souhaib Ben Taieb and Rob J Hyndman) in the Load Forecasting track of the Kaggle Global Energy Forecasting Competition 2012. The competition involved a hierarchical load forecasting problem for a US utility with 20 geographical zones. The...
Persistent link: https://www.econbiz.de/10010753456
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A feature engineering approach to wind power forecasting
Silva, Lucas - In: International Journal of Forecasting 30 (2014) 2, pp. 395-401
This paper provides detailed information about team Leustagos’ approach to the wind power forecasting track of GEFCom 2012. The task was to predict the hourly power generation at seven wind farms, 48 hours ahead. The problem was addressed by extracting time- and weather-related features, which...
Persistent link: https://www.econbiz.de/10010753464
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Forecasting the U.S. Real House Price Index
Plakandaras, Vasilios; Gupta, Rangan; Gogas, Periklis; … - Department of Economics, Faculty of Economic and … - 2014
Vector Regression (SVR) methodology that originates from machine learning. We test the forecasting ability of the proposed …
Persistent link: https://www.econbiz.de/10010942822
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Incremental accelerated gradient methods for SVM classification: study of the constrained approach
Couellan, Nicolas; Jan, Sophie - In: Computational Management Science 11 (2014) 4, pp. 419-444
We investigate constrained first order techniques for training support vector machines (SVM) for online classification tasks. The methods exploit the structure of the SVM training problem and combine ideas of incremental gradient technique, gradient acceleration and successive simple...
Persistent link: https://www.econbiz.de/10010949671
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Machine Learning Utilization for Bed Load Transport in Gravel-Bed Rivers
Kitsikoudis, Vasileios; Sidiropoulos, Epaminondas; … - In: Water Resources Management 28 (2014) 11, pp. 3727-3743
similarly good performance, with respect to the machine learning technique used, accentuating the importance of the regression …
Persistent link: https://www.econbiz.de/10010949766
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Sparse optimization in feature selection: application in neuroimaging
Kampa, K.; Mehta, S.; Chou, C.; Chaovalitwongse, W.; … - In: Journal of Global Optimization 59 (2014) 2, pp. 439-457
Feature selection plays an important role in the successful application of machine learning techniques to large real … challenges for applying machine learning techniques to classify cognitive states based on fMRI data. In this study, we present an …
Persistent link: https://www.econbiz.de/10010845820
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Learning algorithms may perform worse with increasing training set size: Algorithm–data incompatibility
Yousef, Waleed A.; Kundu, Subrata - In: Computational Statistics & Data Analysis 74 (2014) C, pp. 181-197
In machine learning problems a learning algorithm tries to learn the input–output dependency (relationship) of a system …
Persistent link: https://www.econbiz.de/10011056601
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