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Computationally efficient multi-label classification by least-squares probabilistic classifier., , и . ICASSP, стр. 2077-2080. IEEE, (2012)Parametric Return Density Estimation for Reinforcement Learning., , , , и . UAI, стр. 368-375. AUAI Press, (2010)Adaptive truncated residual regression for fine-grained regression problems., , , и . ACML, том 101 из Proceedings of Machine Learning Research, стр. 868-882. PMLR, (2019)Encoder-decoder-based image transformation approach for integrating precipitation forecasts., , , и . ACML, том 157 из Proceedings of Machine Learning Research, стр. 174-188. PMLR, (2021)Multi-stream based marked point process., и . ACML, том 157 из Proceedings of Machine Learning Research, стр. 1269-1284. PMLR, (2021)Specular Surface Detection with Deep Static Specular Flow and Highlight., и . Mach. Vis. Appl., 35 (6): 126 (ноября 2024)Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration., , , , и . Neural Comput., 25 (6): 1512-1547 (2013)Nonparametric Return Distribution Approximation for Reinforcement Learning., , , , и . ICML, стр. 799-806. Omnipress, (2010)Efficient Sample Reuse in EM-Based Policy Search., , и . ECML/PKDD (1), том 5781 из Lecture Notes in Computer Science, стр. 469-484. Springer, (2009)Efficient data reuse in value function approximation., , , и . ADPRL, стр. 8-15. IEEE, (2009)