Distributed Support Vector Ordinal Regression over Networks. [PDF]
Liu H, Tu J, Li C.
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SUBGRADIENT MINIMIZATION METHOD WITH DESCENT VECTORS CORRECTION BY MEANS OF TRAINING RELATIONS PAIRS
The paper introduces a conjugate subgradient method whose descent is corrected by a pair of current training relations. The convergence of the method is proved on strictly convex functions.
V. N. Krutikov, Ya. N. Vershinin
doaj
Gradient-based sparse principal component analysis with extensions to online learning. [PDF]
Qiu Y, Lei J, Roeder K.
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Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]
Lim D, Doriguello JF, Rebentrost P.
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High-dimensional Subgroup Regression Analysis. [PDF]
Jiang F, Tian L, Kang J, Li L.
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Optimal Power Procurement for Green Cellular Wireless Networks Under Uncertainty and Chance Constraints. [PDF]
Ben Rached N +2 more
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Asymptotic Properties of Neural Network Sieve Estimators. [PDF]
Shen X, Jiang C, Sakhanenko L, Lu Q.
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Generalized Legendre Transforms Have Roots in Information Geometry. [PDF]
Nielsen F.
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Enhanced Localization and Orientation Estimations in Focal EEG Source Imaging Using SVD-Based Coordinate Transform. [PDF]
Lahtinen J, Koulouri A.
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An improved Lagrangian relaxation algorithm based SDN framework for industrial internet hybrid service flow scheduling. [PDF]
Song Y, Luo W, Xu P, Wei J, Qi X.
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