Results 31 to 40 of about 507,650 (336)
Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Satellite soil moisture and vegetation optical depth [(VOD); related to the total vegetation water mass per unit area] are increasingly being used to study water relations in the soil-plant continuum across the globe.
Andrew Feldman +2 more
doaj +1 more source
$L_{1/2}$ 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
core +1 more source
Quantum Hamiltonian Reduction of the Schwinger Model [PDF]
, 1994 We reexamine a unitary-transformation method of extracting a physical Hamiltonian from a gauge field theory after quantizing all degrees of freedom including redundant variables.
E. Langman +23 more
core +3 more sources
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
doaj +1 more source
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
doaj +1 more source
Regularization Dependence of Running Couplings in Softly Broken Supersymmetry
, 2008 We discuss the dependence of running couplings on the choice of regularization method in a general softly-broken N=1 supersymmetric theory. Regularization by dimensional reduction respects supersymmetry, but standard dimensional regularization does not ...
't Hooft +28 more
core +1 more source
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
doaj +1 more source
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.
core +3 more sources
On uniform regularity and strong regularity [PDF]
Optimization, 2018 We investigate uniform versions of (metric) regularity and strong (metric) regularity on compact subsets of Banach spaces, in particular, along continuous paths. These two properties turn out to play a key role in analyzing path-following schemes for tracking a solution trajectory of a parametric generalized equation or, more generally, of a ...
R. Cibulka, J. Preininger, T. Roubal
openaire +2 more sources
Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source