검색어 : 통합검색[Machine learning with R]
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- Machine Learning, A Tutorial with R
- Barr, Joseph R.; Trust Science, The Machine Learning Group, Irvine, California, USA; (Artificial Intelligence for Industries (AI4I), 2018 First International Conference on, v.2018, 2018, pp.120-121)
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- CEC01-02 (A): Machine learning with R
- Teunis, M.A.; De Haan, A.M.; Corradi, M.; ; (Toxicology letters, v.384, 2023, pp.S4)
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- Comparison of Machine Learning Packages in R: An Application with Open Dataset
- Oyeniran, Daniel; ; (Chinese/english journal of educational measurement and evaluation, v.5, 2024, )
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- Cluster Structures with Machine Learning Support in Neutron Star M-R relations
- Lobato, Ronaldo V.; Chimanski, Emanuel V.; Bertulani, Carlos A.; ; (Journal of physics. Conference series, v.2340, 2022, pp.012014)
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- Atomic masses with machine learning for the astrophysical r process
- Li, Mengke; Sprouse, Trevor M.; Meyer, Bradley S.; Mumpower, Matthew R.; ; (Physics letters: B, v.848, 2024, pp.138385)
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- Supervised machine learning methods in psychology: A practical introduction with annotated R code
- Rosenbusch, Hannes; Soldner, Felix; Evans, Anthony M.; Zeelenberg, Marcel; Department of Social Psychology Tilburg University Tilburg The Netherlands; Department of Security and Crime Science University College London London UK; Department of Social Psychology Tilburg University Tilburg The Netherlands; Department of Social Psychology Tilburg University Tilburg The Netherlands; (Social and personality psychology compass, v.15, 2021, pp.e12579)
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- medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R
- Hejazi, Nima; Rudolph, Kara; Dí az, Ivá n; ; (Journal of open source software, v.7, 2022, pp.3979)
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- Machine learning for multivariate time series with the R package mlmts
- Ló pez-Oriona, Á ngel; Vilar, José A.; ; (Neurocomputing, v.537, 2023, pp.210-235)
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- Data-driven decarbonization: Optimizing P+R in Istanbul with machine learning energy modeling and ITS
- Kartal, Mehmet Akif; ; (Frontiers in energy research, v.12, 2024, pp.1395814)
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- TDApplied: An R package for machine learning and inference with persistence diagrams
- Brown, Shael; Farivar-Mohseni, Reza; ; (Journal of open source software, v.9, 2024, pp.6321)
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