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Multiple reentrance and fractal phase boundaries in the Barker-Fock model

, and . Physica A: Statistical Mechanics and its Applications, 278 (1-2): 52--64 (Apr 1, 2000)

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Efficient computations via scalable sparse kernel partial least squares and boosted latent features.. KDD, page 654-659. ACM, (2005)Linear Time Model Selection for Mixture of Heterogeneous Components., , , , and . ACML, volume 5828 of Lecture Notes in Computer Science, page 82-97. Springer, (2009)A Pattern Search Method for Model Selection of Support Vector Regression., and . SDM, page 261-274. SIAM, (2002)Efficiently Learning the Metric with Side-Information., , and . ALT, volume 2842 of Lecture Notes in Computer Science, page 175-189. Springer, (2003)Ellipsoidal Support Vector Machines., , and . ACML, volume 13 of JMLR Proceedings, page 31-46. JMLR.org, (2010)Multi-Label Learning to Rank through Multi-Objective Optimization., , , and . KDD, page 4605-4616. ACM, (2023)Multi-Label Learning to Rank through Multi-Objective Optimization., , , , and . CoRR, (2022)A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 15895-15907. PMLR, (2022)MARK: a boosting algorithm for heterogeneous kernel models., , and . KDD, page 24-31. ACM, (2002)Multi-objective Ranking via Constrained Optimization., , , and . WWW (Companion Volume), page 111-112. ACM / IW3C2, (2020)