Publisher
Springer International Publishing
Reference30 articles.
1. Aufenanger, T. (2017). Machine learning to improve experimental design. FAU discussion papers in economics 16/2017. Retrieved from http://hdl.handle.net/10419/169116
2. Barranco-GutiÃrrez, A. (2020). Machine learning for brain images classification of two language speakers. Computational Intelligence and Neuroscience, 2020, 1–7. https://doi.org/10.1155/2020/9045456
3. Bolkan, S., & Andersen, P. (2009). Image induction and social influence: Explication and initial tests. Basic and Applied Social Psychology, 31(4), 317–324. https://doi.org/10.1080/01973530903316898
4. Bruhn, M., & McKenzie, D. (2009). In Pursuit of Balance: Randomization in Practice in Development Field Experiments. American Economic Journal: Applied Economics, 1(4), 200–232. https://doi.org/10.1257/app.1.4.200
5. Bzdok, D., Altman, N., & Krzywinski, M. (2018). Statistics versus machine learning. Nature Methods, 15(4), 233–234. https://doi.org/10.1038/nmeth.4642