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Linear Time Model Selection for Mixture of Heterogeneous Components., , , , и . ACML, том 5828 из Lecture Notes in Computer Science, стр. 82-97. Springer, (2009)Efficient computations via scalable sparse kernel partial least squares and boosted latent features.. KDD, стр. 654-659. ACM, (2005)A Pattern Search Method for Model Selection of Support Vector Regression., и . SDM, стр. 261-274. SIAM, (2002)Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning., , , , , , , и . ICML, OpenReview.net, (2024)Efficiently Learning the Metric with Side-Information., , и . ALT, том 2842 из Lecture Notes in Computer Science, стр. 175-189. Springer, (2003)Multi-Label Learning to Rank through Multi-Objective Optimization., , , , и . CoRR, (2022)Multi-Label Learning to Rank through Multi-Objective Optimization., , , и . KDD, стр. 4605-4616. ACM, (2023)A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 15895-15907. PMLR, (2022)MARK: a boosting algorithm for heterogeneous kernel models., , и . KDD, стр. 24-31. ACM, (2002)Ground state of antiferromagnetic thin films of the XY model under magnetic field and uniaxial potential, и . Physica A: Statistical and Theoretical Physics, 259 (1-2): 105--118 (01.10.1998)