Results 21 to 30 of about 493,705 (320)
Applied Sciences, 2020 The main goal of any classification or regression task is to obtain a model that will generalize well on new, previously unseen data. Due to the recent rise of deep learning and many state-of-the-art results obtained with deep models, deep learning ...
Ivana Marin +2 more
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Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder
IEEE Access, 2021 We present a new adversarial learning method for deep reinforcement learning (DRL). Based on this method, robust internal representation in a deep Q-network (DQN) was introduced by applying adversarial noise to disturb the DQN policy; however, it was ...
Kohei Ohashi +4 more
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Directional Regularity and Metric Regularity
SIAM Journal on Optimization, 2007 For general constraint systems in Banach spaces, we present the directional stability theorem based on the appropriate generalization of the directional regularity condition, suggested earlier in [A. V. Arutyunov and A. F. Izmailov, Math. Oper. Res., 31 (2006), pp. 526-543].
Arutyunov A.V. +2 more
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Proceedings of the American Mathematical Society, 1972 Mathematics Technical ...
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Regular Homomorphisms and Regular Maps
European Journal of Combinatorics, 2002 The authors study regular automorphisms of oriented maps. Their main concern is the problem of lifting and projecting map automorphisms. Regular homomorphisms of oriented maps essentially arise from a factorization by a subgroup of automorphisms. In this paper, this kind of map automorphisms is studied in detail.
Malnič, Aleksander +2 more
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Regularized brain reading with shrinkage and smoothing [PDF]
, 2016 Functional neuroimaging measures how the brain responds to complex stimuli. However, sample sizes are modest, noise is substantial, and stimuli are high dimensional. Hence, direct estimates are inherently imprecise and call for regularization. We compare
Ramdas, Aaditya +3 more
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Regular Operator Equations: Conditions for Regularity [PDF]
Proceedings of the American Mathematical Society, 1982 Regular operator equations are causal equations admitting unique solutions and have the property that all of their limiting equations along solutions admit unique solutions. Sufficient conditions which guarantee that an operator equation x = T x x = Tx is regular are given in case T T is
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Mathematics, 2021 Over the last decade, regularized regression methods have offered alternatives for performing multi-marker analysis and feature selection in a whole genome context.
Juan C. Laria +8 more
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Applied Sciences, 2022 Federated Learning is a widely adopted method for training neural networks over distributed data. One main limitation is the performance degradation that occurs when data are heterogeneously distributed.
Ha Min Son +2 more
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Journal of Mathematical Imaging and Vision, 2014 We provide a characterization of r-regular sets in terms of the Lipschitz regularity of normal vector fields to the boundary.
Duarte, P., Torres, M. J.
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