Results 31 to 40 of about 100,154 (263)
Iterative regularization for convex regularizers
, 2020 We study iterative regularization for linear models, when the bias is convex but not necessarily strongly convex. We characterize the stability properties of a primal-dual gradient based approach, analyzing its convergence in the presence of worst case deterministic noise.
Cesare Molinari +3 more
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Deep Transfer Learning Method Using Self-Pixel and Global Channel Attentive Regularization
SensorsThe purpose of this paper is to propose a novel transfer learning regularization method based on knowledge distillation. Recently, transfer learning methods have been used in various fields. However, problems such as knowledge loss still occur during the
Changhee Kang, Sang-ug Kang
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Regularization and Model Selection with Categorial Predictors and Effect Modifiers in Generalized Linear Models [PDF]
, 2012 We consider varying-coefficient models with categorial effect modifiers in the framework of generalized linear models. We distinguish between nominal and ordinal effect modifiers, and propose adequate Lasso-type regularization techniques that allow for ...
Gertheiss, Jan +2 more
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Қарағанды университетінің хабаршысы. Математика сериясы, 2019 The paper considers a singularly perturbed control problem with a quadratic quality functional. Such problems in their standard formulation under known spectrum restrictions (the points of the spectrum of the optimal system are not purely imaginary and
A.A. Bobodzhanov +2 more
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Balanced-by-Construction Regular and ω-Regular Languages
International Journal of Foundations of Computer Science, 2021 Parenn is the typical generalization of the Dyck language to multiple types of parentheses. We generalize its notion of balancedness to allow parentheses of different types to freely commute. We show that balanced regular and [Formula: see text]-regular languages can be characterized by syntactic constraints on regular and [Formula: see text]-regular ...
Luc Edixhoven, Sung-Shik Jongmans
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Mathematical Methods in Feature Selection: A Review
MathematicsFeature selection is essential in machine learning and data science. Recently, there has been a growing effort to apply various mathematical methods to construct novel feature selection algorithms.
Firuz Kamalov +5 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
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingInterferometry synthetic aperture radar (InSAR) technology has been widely applied to the identification and monitoring of unstable slopes. Recent studies have demonstrated that polarization information can enhance the quality of interferometric phase ...
Yahui Qiu +4 more
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Entropy convergence in early bilinguals’ syntactic packaging
Frontiers in Psychology, 2022 A core question in developmental and cognitive research concerns the way linguistic variation affects the acquisition process. Previous research on monolinguals suggests that children, but not adults, tend to regularize inconsistent input, resulting in ...
Helen Engemann
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