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  • Search: subject:"Support vector machines"
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Year of publication
Subject
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Mustererkennung 110 Pattern recognition 109 Support vector machines 90 support vector machines 86 Theorie 60 Prognoseverfahren 57 Support Vector Machines 57 Theory 56 Artificial intelligence 55 Forecasting model 55 Künstliche Intelligenz 55 Neural networks 34 Neuronale Netze 31 Classification 30 Klassifikation 25 Data mining 23 machine learning 20 Cluster analysis 19 Clusteranalyse 19 Data Mining 18 Kreditwürdigkeit 18 Machine learning 18 Algorithm 17 Algorithmus 17 Credit rating 15 Forecast 13 Prognose 13 Insolvency 11 Insolvenz 11 SVM 11 Artificial neural networks 10 Regression analysis 10 Democracy 9 Efficiency 9 Feature selection 9 Mathematical programming 9 Mathematische Optimierung 9 Regressionsanalyse 9 Company rating 8 Decision tree 8
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Online availability
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Undetermined 141 Free 100 CC license 7
Type of publication
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Article 206 Book / Working Paper 61 Other 1
Type of publication (narrower categories)
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Article in journal 98 Aufsatz in Zeitschrift 98 Working Paper 26 Graue Literatur 13 Non-commercial literature 13 Arbeitspapier 11 Article 8 research-article 5 Thesis 3 Conference paper 2 Hochschulschrift 2 Konferenzbeitrag 2 Aufsatz im Buch 1 Book section 1 Congress Report 1 Report 1 review 1
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Language
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English 158 Undetermined 105 Spanish 4 French 1
Author
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Gründler, Klaus 13 Krieger, Tommy 13 Rüping, Stefan 12 Papadimitriou, Theophilos 11 Gkonkas, Periklēs 8 Schäfer, Dorothea 8 Moro, Rouslan A. 7 Plakandaras, Vasilios 6 Carrizosa, Emilio 5 Härdle, Wolfgang 5 Härdle, Wolfgang Karl 5 Maldonado, Sebastián 5 Aytug, Haldun 4 Komarova, Tatiana 4 Aparicio, Juan 3 COCIANU, Catalina 3 Gogas, Periklis 3 Groenen, Patrick 3 Montoya, Ricardo 3 Nyitrai, Tamás 3 Richman, Michael 3 STATE, Luminita 3 Trafalis, Theodore 3 Adrianto, Indra 2 Ahdid, Rachid 2 Auria, Laura 2 Azougaghe, Es-said 2 Bioch, Bioch, J.C. 2 Bioch, J.C. 2 Burgard, Jan Pablo 2 COUSSEMENT, K. 2 Chen, Wun-Hua 2 Ciobanu, Dumitru 2 Couellan, Nicolas 2 Dharni, Khushdeep 2 Di Pillo, Gianni 2 Djehiche, Boualem 2 Doumpa, Efterpi 2 Esteve, Miriam 2 Fantinato, Marcelo 2
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 4 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 3 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 3 DIW Berlin (Deutsches Institut für Wirtschaftsforschung) 2 Departamento de Estadistica, Universidad Carlos III de Madrid 2 Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Facoltà di Ingegneria dell'Informazione Informatica e Statistica 2 Erasmus University Rotterdam, Econometric Institute 2 Faculteit Economie en Bedrijfskunde, Universiteit Gent 2 Suntory and Toyota International Centres for Economics and Related Disciplines, LSE 2 BANCO DE LA REPÚBLICA 1 Banco de la Republica de Colombia 1 Department of Economics, Democritus University of Thrace 1 Deutsche Bundesbank 1 Dipartimento di Economia, Management e Metodi Quantitativi (DEMM), Università degli Studi di Milano 1 Society for Computational Economics - SCE 1 Zakład Ekonometrii Stosowanej, Szkoła Główna Handlowa w Warszawie 1
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Published in...
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Computational Management Science 11 Computational economics 8 European journal of operational research : EJOR 7 International Journal of Data Analysis Techniques and Strategies 5 European Journal of Operational Research 4 Technical Report 4 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 4 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 4 CESifo Working Paper 3 CESifo working papers 3 Computers & operations research : and their applications to problems of world concern ; an international journal 3 Econometric Institute Research Papers 3 Informatica Economica 3 Journal of forecasting 3 New Mathematics and Natural Computation (NMNC) 3 SFB 649 Discussion Papers 3 Water Resources Management 3 Computational Economics 2 Computational Management Science : CMS 2 Computational Optimization and Applications 2 Computational Statistics 2 Computers & operations research : an international journal 2 DIAG Technical Reports 2 DIW Discussion Papers 2 Discussion Paper Series 2 Discussion Papers of DIW Berlin 2 Diskussionspapiere des Lehrstuhls / Lehrstuhl für Volkswirtschaftslehre, insbesondere Wirtschaftsordnung und Sozialpolitik 2 Econometric Institute Report 2 Finance research letters 2 Intelligent systems in accounting, finance & management 2 International Journal of Electronic Finance 2 International Journal of Financial Markets and Derivatives 2 International journal of forecasting 2 Journal of Global Optimization 2 Natural Hazards 2 Organizational research methods : ORM 2 Renewable Energy 2 Research in international business and finance 2 SFB 649 Discussion Paper 2 STICERD - Econometrics Paper Series 2
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Source
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RePEc 115 ECONIS (ZBW) 112 EconStor 23 Other ZBW resources 11 BASE 7
Showing 71 - 80 of 268
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Democracy and growth : evidence of a new measurement
Gründler, Klaus; Krieger, Tommy - 2015
We present a novel approach for measuring democracy based on Support Vector Machines, a mathematical algorithm for … pattern recognition. The Support Vector Machines Democracy Index (SVMDI) is continuously on the 0-1-interval and enables a …
Persistent link: https://www.econbiz.de/10011405138
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A big data analytics approach for construction firms failure prediction models
Alaka, Hafiz; Oyedele, Lukumon; Owolabi, Hakeem; … - In: IEEE transactions on engineering management : EM 66 (2019) 4, pp. 689-698
Persistent link: https://www.econbiz.de/10012129927
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Initial exploration on an effective social media analytics method and algorithm for Instagram hashtags
Nurul Atikah Ahmad Rosli; Mohd Heikal Husin - In: International journal of e-business research : an … 15 (2019) 3, pp. 1-15
Persistent link: https://www.econbiz.de/10012109535
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News-based supervised sentiment analysis for prediction of futures buying behaviour
Yadav, Ritu; Kumar, A. Vinay; Kumar, Ashwani - In: IIMB management review 31 (2019) 2, pp. 157-166
Persistent link: https://www.econbiz.de/10012213122
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A re-evaluation of the term spread as a leading indicator
Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: International review of economics & finance : IREF 64 (2019), pp. 476-492
Persistent link: https://www.econbiz.de/10012372831
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Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul; Kaur, Harleen - In: International journal of forecasting 35 (2019) 2, pp. 741-755
Persistent link: https://www.econbiz.de/10012300725
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Cost-sensitive Feature Selection for Support Vector Machines
Benítez-Peña, S.; Blanquero, R.; Carrizosa, Emilio; … - In: Computers & operations research : and their … 106 (2019), pp. 169-178
Persistent link: https://www.econbiz.de/10012014403
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GenSVM: A Generalized Multiclass Support Vector Machine
Groenen, Patrick; van den Burg, G.J.J. - Faculteit der Economische Wetenschappen, Erasmus … - 2014
__Abstract__ Traditional extensions of the binary support vector machine (SVM) to multiclass problems are either heuristics or require solving a large dual optimization problem. Here, a generalized multiclass SVM called GenSVM is proposed, which can be used for classification problems where the...
Persistent link: https://www.econbiz.de/10011185632
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Alternative Strategies in Learning Nonlinear Soft Margin Support Vector Machines
COCIANU, Catalina; STATE, Luminita; USCATU, Cristian - In: Informatica Economica 18 (2014) 2, pp. 42-52
The aims of the paper are multifold, to propose a new method to determine a suitable value of the bias corresponding to the soft margin SVM classifier and to experimentally evaluate the quality of the found value against one of the standard expression of the bias computed in terms of the support...
Persistent link: https://www.econbiz.de/10011165701
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A Class of Convergent Parallel Algorithms for SVMs Training
Manno, Andrea; Palagi, Laura; Sagratella, Simone - Dipartimento di Ingegneria Informatica, Automatica e … - 2014
The training of Support Vector Machines may be a very difficult task when dealing with very large datasets. The memory …
Persistent link: https://www.econbiz.de/10010941225
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