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The application of machine learning algorithms in predicting the length of stay following femoral neck fracture.

, , , , , , , , , , , , and . Int. J. Medical Informatics, (2021)

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Intrinsic Dimension Estimation Using Wasserstein Distance., , , and . J. Mach. Learn. Res., (2022)When is Agnostic Reinforcement Learning Statistically Tractable?, , , , and . CoRR, (2023)Model-Based Reinforcement Learning with Value-Targeted Regression., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 463-474. PMLR, (2020)Model-Based Reinforcement Learning with Value-Targeted Regression., , , and . L4DC, volume 120 of Proceedings of Machine Learning Research, page 666-686. PMLR, (2020)Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data., , , and . CoRR, (2024)Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2701-2709. PMLR, (2020)Towards solving 2-TBSG efficiently., , and . Optim. Methods Softw., 35 (4): 706-721 (2020)Identification of Key Gene Modules and Hub Genes of Hypertension Based on WGCNA Algorithm., , , , and . BIBE, page 23:1-23:6. ACM, (2021)The application of machine learning algorithms in predicting the length of stay following femoral neck fracture., , , , , , , , , and 3 other author(s). Int. J. Medical Informatics, (2021)Rate of convergence of the smoothed empirical Wasserstein distance., , , and . CoRR, (2022)