An adaptive parameter selection strategy based on maximizing the probability of data for robust fluorescence molecular tomography reconstruction.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of biophotonics"
DOI: 10.1002/jbio.202300031
Abstract: To alleviate the ill-posed of the inverse problem in Fluorescent molecular tomography (FMT), many regularization methods based on L2 or L1 norm have been proposed. Whereas, the quality of regularization parameters affect the performance of… read more here.
Keywords: regularization; parameter selection; parameter; reconstruction ... See more keywords
Parameter selection method for support vector machine based on adaptive fusion of multiple kernel functions and its application in fault diagnosis
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3792-7
Abstract: A new model parameter selection method for support vector machine based on adaptive fusion of multiple kernel functions is proposed in this paper. Characteristics of local kernels, global kernels, mixtures of kernels and multiple kernels… read more here.
Keywords: vector; multiple kernel; selection; fusion ... See more keywords
Consistent tuning parameter selection in high-dimensional group-penalized regression
Sign Up to like & getrecommendations! Published in 2019 at "Science China Mathematics"
DOI: 10.1007/s11425-017-9189-9
Abstract: Various forms of penalized estimators with good statistical and computational properties have been proposed for variable selection respecting the grouping structure in the variables. The attractive properties of these shrinkage and selection estimators, however, depend… read more here.
Keywords: parameter selection; consistent tuning; tuning parameter; selection ... See more keywords
A Control-Theoretic Approach to Analysis and Parameter Selection of Douglas–Rachford Splitting
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2019.2922669
Abstract: Douglas–Rachford splitting and its equivalent dual formulation ADMM are widely used iterative methods in composite optimization problems arising in control and machine learning applications. The performance of these algorithms depends on the choice of step… read more here.
Keywords: tex math; parameter selection; analysis parameter; inline formula ... See more keywords
A Solution to the Parameter Selection and Current Static Error Issues With Frequency Shift Islanding Detection Methods
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2020.2970684
Abstract: Frequency shift islanding detection methods have been widely used in inverter-based distributed generations. Two representatives of such methods, Sandia frequency shift (SFS) and reactive current perturbation (RCP) methods, are investigated in this article. The investigation… read more here.
Keywords: parameter selection; frequency shift; error; current static ... See more keywords
The modified generalized moveout approximation: a new parameter selection
Sign Up to like & getrecommendations! Published in 2017 at "Geophysical Prospecting"
DOI: 10.1111/1365-2478.12445
Abstract: ABSTRACT Non‐hyperbolic generalised moveout approximation is a powerful tool to approximate the travel‐time function by using information obtained from two rays. The standard approach for parameter selection is using three parameters defined from zero‐offset ray… read more here.
Keywords: ray; parameter; moveout approximation; parameter selection ... See more keywords
Defocusing parameter selection strategies based on PSF measurement for square-binary defocusing fringe projection profilometry.
Sign Up to like & getrecommendations! Published in 2018 at "Optics express"
DOI: 10.1364/oe.26.020351
Abstract: Three-dimensional (3D) shape measurement system with binary defocusing technique can perform high-speed and flexible measurements if binary fringe patterns are defocused by projector properly. However, the actual defocusing degree is difficult to set, and the… read more here.
Keywords: fringe; measurement; parameter selection; binary defocusing ... See more keywords
On the Adaptive Penalty Parameter Selection in ADMM
Sign Up to like & getrecommendations! Published in 2023 at "Algorithms"
DOI: 10.3390/a16060264
Abstract: Many data analysis problems can be modeled as a constrained optimization problem characterized by nonsmooth functionals, often because of the presence of ℓ1-regularization terms. One of the most effective ways to solve such problems is… read more here.
Keywords: penalty parameter; selection admm; parameter selection; parameter ... See more keywords
Cutting Parameter Selection for Efficient and Sustainable Repair of Holes Made in Hybrid Mg–Ti–Mg Component Stacks by Dry Drilling Operations
Sign Up to like & getrecommendations! Published in 2018 at "Materials"
DOI: 10.3390/ma11081369
Abstract: Drilling is one of the most common machining operations in the aeronautic and aerospace industries. For assembling parts, a large number of holes are usually drilled into the parts so that they can be joined… read more here.
Keywords: cutting parameter; selection efficient; dry drilling; parameter selection ... See more keywords
Data-Driven Parameter Selection and Modeling for Concrete Carbonation
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15093351
Abstract: Concrete carbonation is known as a stochastic process. Its uncertainties mainly result from parameters that are not considered in prediction models. Parameter selection, therefore, is important. In this paper, based on 8204 sets of data,… read more here.
Keywords: machine learning; parameter selection; concrete carbonation; carbonation depth ... See more keywords