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  • Search: subject:"Supervised learning"
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Year of publication
Subject
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supervised learning 40 Artificial intelligence 21 Künstliche Intelligenz 18 Learning process 17 Lernprozess 17 machine learning 14 Forecasting model 11 Learning 11 Lernen 11 Prognoseverfahren 11 Supervised learning 10 Machine learning 7 Neural networks 7 Neuronale Netze 7 Theorie 7 Supervised Learning 6 Theory 6 Algorithm 5 Algorithmus 5 unsupervised learning 5 Classification 4 Data Mining 4 Data mining 4 Python 4 Semi-supervised learning 4 artificial neural network 4 classification 4 deep learning 4 keras 4 labor market 4 perceptron 4 tensorflow 4 universal approximation theorem 4 Bankruptcy prediction 3 Clusteranalyse 3 Clustering 3 Estimation 3 Gaussian processes 3 Klassifikation 3 Learning organization 3
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Online availability
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Free 70 CC license 11
Type of publication
All
Article 39 Book / Working Paper 31
Type of publication (narrower categories)
All
Working Paper 27 Article in journal 23 Aufsatz in Zeitschrift 23 Arbeitspapier 16 Graue Literatur 16 Non-commercial literature 16 Article 12
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Language
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English 62 Undetermined 4 German 2 French 1 Portuguese 1
Author
All
Niggli, Matthias 5 Askitas, Nikos 4 Rutzer, Christian 4 Abudu, Bolanle 3 Nowak, Adam 3 Albert, Maximilian 2 Antos, Sarah Elizabeth 2 Arbabi, Farzin 2 Avner, Paolo 2 Bengtsson, Linus 2 Biegel, Tobias 2 Brooks, Christopher J. 2 Burci, Priya 2 Burgard, Jan Pablo 2 Chen, Jun 2 Cordier, Johannes 2 Debener, Jörn 2 Ebrahimi, Pejman 2 Fan, Jianqing 2 Gensicke, Miriam 2 Gonzalez, Miguel 2 Gray, Jonathan 2 Heinisch, Dominik 2 Heinke, Volker 2 Helm, Patrick 2 Herbst, Tim 2 Humphreys, Brad R. 2 Jamshidi, Mir Hadi Moazen 2 Jourdan, Nicolas 2 Khansari, Seyed Mohammad 2 Koenig, Johannes 2 Kriebel, Johannes 2 Kuhlenkötter, Bernd 2 Lange, Tatjana 2 Lozano Gracia, Nancy 2 Martin, Robert J. 2 Martínez, Serafín 2 Masini, Ricardo 2 Medeiros, Marcelo C. 2 Metternich, Joachim 2
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Institution
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Banco de México 1 Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 1 Seminar für Wirtschafts- und Sozialstatistik, Wirtschafts- und Sozialwissenschaftliche Fakultät 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Journal of Intelligent Manufacturing 4 Working papers / Department of Economics, West Virginia University 3 Data science and management : DSM 2 Decision analytics journal 2 IAB discussion paper : Beiträge zum wissenschaftlichen Dialog aus dem Institut für Arbeitsmarkt- und Berufsforschung 2 IAB-Discussion Paper 2 Risks : open access journal 2 WWZ Working Paper 2 WWZ working paper 2 Borradores de economía 1 Business & information systems engineering 1 CESifo Working Paper 1 CESifo working papers 1 CIRANO Working Papers 1 Development Engineering 1 Development engineering 1 Discussion Paper 1 Discussion Papers in Econometrics and Statistics 1 Discussion Papers in Statistics and Econometrics 1 Discussion paper series / IZA 1 Finance and economics discussion series 1 IEEE transactions on engineering management : EM ; a publication of the IEEE Engineering Management Society 1 IEG working paper 1 IZA Discussion Papers 1 Informatica Economica 1 International journal of financial engineering 1 International journal of strategic property management 1 Journal of Contemporary Issues in Business and Government 1 Journal of Industrial Engineering and Management (JIEM) 1 Journal of Risk and Financial Management 1 Journal of Risk and Insurance 1 Journal of economic geography 1 Journal of forecasting 1 Journal of industrial engineering and management : JIEM 1 Journal of marketing analytics : JMA 1 Journal of risk and financial management : JRFM 1 Logistics Research 1 Logistics research 1 MPRA Paper 1 Revista Brasileira de Finanças : RBFin 1
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Source
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ECONIS (ZBW) 39 EconStor 23 RePEc 7 BASE 1
Showing 1 - 10 of 70
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Maschinelles Lernen im Basisregister für Unternehmen: Vorstudie zum Potenzial automatischer Konsolidierung von Unternehmensstammdaten
Weißmann, Julius; Herbst, Tim - In: WISTA - Wirtschaft und Statistik 76 (2024) 3, pp. 67-79
Das Statistische Bundesamt hat den gesetzlichen Auftrag, ein Register über Unter nehmensbasisdaten für Deutschland aufzubauen. Die Inhalte und Ziele des Basisre gisters für Unternehmen werden in dem zugrunde liegenden Gesetz definiert. Diese liegen vor allem in der Konsolidierung der...
Persistent link: https://www.econbiz.de/10014560159
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A Hands-on Machine Learning Primer for Social Scientists: Math, Algorithms and Code
Askitas, Nikos - 2024
This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...
Persistent link: https://www.econbiz.de/10014567597
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Application of positive and unlabeled learning: A novel approach for identifying sepsis cases from hospital administrative data
Vogel, Justus; Cordier, Johannes - 2024
Only positive instances of various events, e.g., secondary diagnoses, are actively labeled in hospital administrative data. In line with this, several studies indicate underreporting of adverse events such as sepsis. The gold standard for relabeling of uncoded sepsis cases, medical record...
Persistent link: https://www.econbiz.de/10014575503
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Cover Image
A Hands-On Machine Learning Primer for Social Scientists: Math, Algorithms and Code
Askitas, Nikos - 2024
This paper addresses the steep learning curve in Machine Learning faced by non-computer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage ”once you understand OLS, you can work...
Persistent link: https://www.econbiz.de/10015096855
Saved in:
Cover Image
Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines
Burgard, Jan Pablo; Pinheiro, Maria Eduarda; Schmidt, Martin - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 391-428
Persistent link: https://www.econbiz.de/10015188200
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Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines
Burgard, Jan Pablo; Pinheiro, Maria Eduarda; Schmidt, Martin - In: TOP 32 (2024) 3, pp. 391-428
Among the most famous algorithms for solving classification problems are support vector machines (SVMs), which find a separating hyperplane for a set of labeled data points. In some applications, however, labels are only available for a subset of points. Furthermore, this subset can be...
Persistent link: https://www.econbiz.de/10015375768
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Using machine learning to identify primary features in choosing electric vehicles based on income levels
Ma, Mingjun; Pinsky, Eugene - In: Data science and management : DSM 7 (2024) 1, pp. 1-6
An electric vehicle is becoming one of the popular choices when choosing a vehicle. People are generally impressed with electric vehicles' zero-emission and smooth drives, while unstable battery duration keeps people away. This study tries to identify the primary factors that affect the...
Persistent link: https://www.econbiz.de/10014518029
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Cover Image
A hands-on machine learning primer for social scientists : math, algorithms and code
Askitas, Nikos - 2024
This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...
Persistent link: https://www.econbiz.de/10014535259
Saved in:
Cover Image
Maschinelles Lernen im Basisregister für Unternehmen : Vorstudie zum Potenzial automatischer Konsolidierung von Unternehmensstammdaten
Weißmann, Julius; Herbst, Tim - In: Wirtschaft und Statistik : WISTA (2024) 3, pp. 67-79
Das Statistische Bundesamt hat den gesetzlichen Auftrag, ein Register über Unter nehmensbasisdaten für Deutschland aufzubauen. Die Inhalte und Ziele des Basisre gisters für Unternehmen werden in dem zugrunde liegenden Gesetz definiert. Diese liegen vor allem in der Konsolidierung der...
Persistent link: https://www.econbiz.de/10014559044
Saved in:
Cover Image
A hands-on machine learning primer for social scientists : math, algorithms and code
Askitas, Nikos - 2024
This paper addresses the steep learning curve in Machine Learning faced by non-computer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage ”once you understand OLS, you can work...
Persistent link: https://www.econbiz.de/10015070152
Saved in:
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