Simplicity and Specificity in Language: Domain general biases have domain specific effects
Frontiers in Psychology, 2016 The extent to which the linguistic system—its architecture, the representations it operates on, the constraints it is subject to—is specific to language has broad implications for cognitive science and its relation to evolutionary biology. Importantly, a
Jennifer eCulbertson, Simon eKirby
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A Note on Transverse Axial Vector and Vector Anomalies in U(1) Gauge Theories
, 2003 The transverse axial vector and vector anomalies in four-dimensional U(1) gauge theories studied in [10] is reexamined by means of perturbative methods. The absence of transverse anomalies for both axial vector and vector current is verified.
't Hooft +17 more
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Split Dimensional Regularization for the Coulomb Gauge [PDF]
, 1996 A new procedure for regularizing Feynman integrals in the noncovariant Coulomb gauge is proposed for Yang-Mills theory. The procedure is based on a variant of dimensional regularization, called split dimensional regularization, which leads to internally ...
Adkins +75 more
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Evolve Filter Stabilization Reduced-Order Model for Stochastic Burgers Equation
Fluids, 2018 In this paper, we introduce the evolve-then-filter (EF) regularization method for reduced order modeling of convection-dominated stochastic systems. The standard Galerkin projection reduced order model (G-ROM) yield numerical oscillations in a convection-
Xuping Xie +2 more
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Effective Production Funds and Production Functions of Regional Small Business [PDF]
Экономика региона, 2018 The paper is devoted to the development and the new application of the mathematical model of effective capital funds (ECF) formation, which has been offered earlier.
Vladimir Konstantinovich Gorbunov +1 more
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$L_{1/2}$ Regularization: Convergence of Iterative Half Thresholding Algorithm
, 2014 In recent studies on sparse modeling, the nonconvex regularization approaches (particularly, $L_{q}$ regularization with $q\in(0,1)$) have been demonstrated to possess capability of gaining much benefit in sparsity-inducing and efficiency.
Lin, Shaobo +3 more
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Regularization modeling for large-eddy simulation of homogeneous isotropic decaying turbulence [PDF]
, 2008 Inviscid regularization modeling of turbulent flow is investigated. Homogeneous, isotropic, decaying turbulence is simulated at a range of filter widths.
Geurts, B.J., Kuczaj, A.K., Titi, E.S.
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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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The Reconstruction of Magnetic Particle Imaging: Current Approaches Based on the System Matrix
Diagnostics, 2021 Magnetic particle imaging (MPI) is a novel non-invasive molecular imaging technology that images the distribution of superparamagnetic iron oxide nanoparticles (SPIONs).
Xiaojun Chen +4 more
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Impact of regularization on Spectral Clustering [PDF]
, 2014 The performance of spectral clustering can be considerably improved via regularization, as demonstrated empirically in Amini et. al (2012). Here, we provide an attempt at quantifying this improvement through theoretical analysis.
Joseph, Antony, Yu, Bin
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