A machine learning approach to 'revisit' specialization and sampling in institutionalized practice
Author
Abstract
Suggested Citation
DOI: 10.22028/D291-32130
Download full text from publisher
References listed on IDEAS
- Daniel Leyhr & Augustin Kelava & Johannes Raabe & Oliver Höner, 2018. "Longitudinal motor performance development in early adolescence and its relationship to adult success: An 8-year prospective study of highly talented soccer players," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-16, May.
- Matthias Schonlau, 2005. "Boosted regression (boosting): An introductory tutorial and a Stata plugin," Stata Journal, StataCorp LP, vol. 5(3), pages 330-354, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Michael Barth & Eike Emrich & Arne Güllich, 2019. "A Machine Learning Approach to “Revisit†Specialization and Sampling in Institutionalized Practice," SAGE Open, , vol. 9(2), pages 21582440198, April.
- Irene Mosca & Alan Barrett, 2016.
"The impact of adult child emigration on the mental health of older parents,"
Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(3), pages 687-719, July.
- Mosca, Irene & Barrett, Alan, 2014. "The Impact of Adult Child Emigration on the Mental Health of Older Parents," IZA Discussion Papers 8037, Institute of Labor Economics (IZA).
- Maryam Abarghoueinejad & Daniel Barreira & Cláudia Dias & Eduardo Guimarães & Adam D. G. Baxter-Jones & José Maia, 2021. "Body Physique, Body Composition, Physical Performance, Technical and Tactical Skills, Psychological Development, and Club Characteristics of Young Male Portuguese Soccer Players: The INEX Study," IJERPH, MDPI, vol. 18(7), pages 1-17, March.
- Lily Davies & Mark Kattenberg & Benedikt Vogt, 2023. "Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth," CPB Discussion Paper 444, CPB Netherlands Bureau for Economic Policy Analysis.
- Mehmet Güney Celbiş & Pui-Hang Wong & Karima Kourtit & Peter Nijkamp, 2021. "Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
- Yang, Jiawen & Su, Pinren & Cao, Jason, 2020. "On the importance of Shenzhen metro transit to land development and threshold effect," Transport Policy, Elsevier, vol. 99(C), pages 1-11.
- Dario Sansone & Anna Zhu, 2023.
"Using Machine Learning to Create an Early Warning System for Welfare Recipients,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 959-992, October.
- Dario Sansone & Anna Zhu, 2020. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Papers 2011.12057, arXiv.org, revised May 2021.
- Sansone, Dario & Zhu, Anna, 2021. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," IZA Discussion Papers 14377, Institute of Labor Economics (IZA).
- Joanna F Dipnall & Julie A Pasco & Michael Berk & Lana J Williams & Seetal Dodd & Felice N Jacka & Denny Meyer, 2016. "Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-19, December.
- McKenzie, David & Sansone, Dario, 2017.
"Man vs. Machine in Predicting Successful Entrepreneurs: Evidence from a Business Plan Competition in Nigeria,"
CEPR Discussion Papers
12523, C.E.P.R. Discussion Papers.
- Mckenzie,David J. & Sansone,Dario & Mckenzie,David J. & Sansone,Dario, 2017. "Man vs. machine in predicting successful entrepreneurs : evidence from a business plan competition in Nigeria," Policy Research Working Paper Series 8271, The World Bank.
- Ding, Chuan & Cao, Xinyu & Liu, Chao, 2019. "How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds," Journal of Transport Geography, Elsevier, vol. 77(C), pages 70-78.
- Joyce P Jacobsen & Laurence M Levin & Zachary Tausanovitch, 2016.
"Comparing Standard Regression Modeling to Ensemble Modeling: How Data Mining Software Can Improve Economists’ Predictions,"
Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 42(3), pages 387-398, June.
- Joyce P. Jacobsen & Laurence M. Levin & Zachary Tausanovitch, 2014. "Comparing Standard Regression Modeling to Ensemble Modeling: How Data Mining Software Can Improve Economists' Predictions," Wesleyan Economics Working Papers 2014-003, Wesleyan University, Department of Economics.
- Yiyi Chen & Ye Liu, 2021. "Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees," IJERPH, MDPI, vol. 18(11), pages 1-18, May.
- repec:ags:aaea22:335799 is not listed on IDEAS
- Dennis W. Campbell & Ruidi Shang, 2022. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews," Management Science, INFORMS, vol. 68(9), pages 7034-7053, September.
- McKenzie, David & Sansone, Dario, 2019. "Predicting entrepreneurial success is hard: Evidence from a business plan competition in Nigeria," Journal of Development Economics, Elsevier, vol. 141(C).
- Christoph Emanuel Mueller, 2016. "Accurate forecast of countries’ research output by macro-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1307-1328, November.
- Frenger, Monika & Emrich, Eike & Geber, Sebastian & Follert, Florian & Pierdzioch, Christian, 2019. "The influence of performance parameters on market value," Working Papers of the European Institute for Socioeconomics 30, European Institute for Socioeconomics (EIS), Saarbrücken.
- Chuan Ding & Donggen Wang & Xiaolei Ma & Haiying Li, 2016. "Predicting Short-Term Subway Ridership and Prioritizing Its Influential Factors Using Gradient Boosting Decision Trees," Sustainability, MDPI, vol. 8(11), pages 1-16, October.
- Mosca, Irene & McCrory, Cathal, 2016. "Personality and wealth accumulation among older couples: Do dispositional characteristics pay dividends?," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 1-19.
- Yang, Haoran & Zhang, Qinran & Helbich, Marco & Lu, Yi & He, Dongsheng & Ettema, Dick & Chen, Long, 2022. "Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 234-246.
- Zhesong Hao & Ying Peng, 2022. "Comparing Nonlinear and Threshold Effects of Bus Stop Proximity on Transit Use and Carbon Emissions in Developing Cities," Land, MDPI, vol. 12(1), pages 1-21, December.
More about this item
Keywords
talent development; international sporting success; extreme gradient boosting; deliberate practice;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:eiswps:26. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://eis-online.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.