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1
المؤلفون: Florian Dumpert, Martin Beck
المصدر: AStA Wirtschafts- und Sozialstatistisches Archiv. 17:5-34
مصطلحات موضوعية: Statistics and Probability, General Social Sciences, General Economics, Econometrics and Finance
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2
المؤلفون: Florian Dumpert
المصدر: Advances in Business Statistics, Methods and Data Collection. :537-560
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::89a6f5e6ab707e4b5b04c9e3f3853aeb
https://doi.org/10.1002/9781119672333.ch23 -
3دورية أكاديمية
المؤلفون: Florian Dumpert, Martin Beck
المصدر: Springer;Deutsche Statistische Gesellschaft - German Statistical Society, AStA Wirtschafts- und Sozialstatistisches Archiv. 17(1):5-34
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4دورية أكاديمية
المؤلفون: Younes Saidani, Florian Dumpert, Christian Borgs, Alexander Brand, Andreas Nickl, Alexandra Rittmann, Johannes Rohde, Christian Salwiczek, Nina Storfinger, Selina Straub
المصدر: Springer;Deutsche Statistische Gesellschaft - German Statistical Society, AStA Wirtschafts- und Sozialstatistisches Archiv. 17(3):253-303
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5دورية أكاديمية
المؤلفون: Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger
المصدر: Springer;Deutsche Statistische Gesellschaft - German Statistical Society, AStA Wirtschafts- und Sozialstatistisches Archiv. 17(3):191-194
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6
المؤلفون: Wesley Yung, Siu-Ming Tam, Bart Buelens, Hugh Chipman, Florian Dumpert, Gabriele Ascari, Fabiana Rocci, Joep Burger, InKyung Choi
المصدر: Statistical Journal of the IAOS. 38:291-308
مصطلحات موضوعية: Economics and Econometrics, Statistics, Probability and Uncertainty, Management Information Systems
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::418f403aa7a409a1006b57876f6b3d9b
https://doi.org/10.3233/sji-210875 -
7
المؤلفون: Florian Dumpert, Elena Schmidt
المصدر: Hyperparameter Tuning for Machine and Deep Learning with R ISBN: 9789811951695
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2e6a047518a46ae05f984b03f6f98464
https://doi.org/10.1007/978-981-19-5170-1_7 -
8دورية أكاديمية
المؤلفون: Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, A
المصدر: Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), Advances in Data Analysis and Classification. 16(4):823-846
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9
المؤلفون: Maria Thurow, Florian Dumpert, Burim Ramosaj, Markus Pauly
المصدر: Statistical Journal of the IAOS. 37:1379-1390
مصطلحات موضوعية: Economics and Econometrics, Official statistics, Computer science, Econometrics, Statistics, Probability and Uncertainty, Management Information Systems
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7f2513a8b5c42a6c5c5a35e926f761a6
https://doi.org/10.3233/sji-210798 -
10
المؤلفون: Heinz Leitgöb, Florian Dumpert, Tim Friede, Johannes Lederer, Harald Binder, Gerd Antes, Hans A. Kestler, Ansgar Steland, Katja Ickstadt, Markus Pauly, Sigrid Behr, Sarah Friedrich, Werner Brannath, Adalbert F. X. Wilhelm
المصدر: Advances in data analysis and classification : ADAC 16(4), 823-846 (2021). doi:10.1007/s11634-021-00455-6
مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer science, Context (language use), Field (computer science), Machine Learning (cs.LG), Computer Science - Computers and Society, Computers and Society (cs.CY), Statistics, Relevance (information retrieval), ddc:510, Research question, Curriculum, Data collection, business.industry, Applied Mathematics, Causality, Computer Science Applications, Artificial Intelligence (cs.AI), Data quality, Artificial intelligence, ddc:004, business
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc29539e107d32e4fa161289fe977e67
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/96404