PLoS ONE, 2023 Support vector machine (SVM) is a new machine learning method developed from statistical learning theory. Since the objective function of the unconstrained SVM model is a non-smooth function, a lot of fast optimization algorithms can't be used to find ...
Jianjian Wang, Feng He, Shouheng Sun
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Smooth LASSO estimator for the Function-on-Function linear regression model [PDF]
Computational Statistics & Data Analysis, 2020 A new estimator, named as S-LASSO, is proposed for the coefficient function of a functional linear regression model where values of the response function, at a given domain point, depends on the full trajectory of the covariate function.
Fabio Centofanti +3 more
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Modeling the Flux-Charge Relation of Memristor with Neural Network of Smooth Hinge Functions [PDF]
Radioengineering, 2014 The memristor was proposed to characterize the flux-charge relation. We propose the generalized flux-charge relation model of memristor with neural network of smooth hinge functions.
X. Mu, J. Yu, S. Wang
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Computing motivic zeta functions on log smooth models [PDF]
Mathematische Zeitschrift, 2016 We give an explicit formula for the motivic zeta function in terms of a log smooth model. It generalizes the classical formulas for snc-models, but it gives rise to much fewer candidate poles, in general.
Emmanuel Bultot, J. Nicaise
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Multidimensional Evaluation of Vascular Dysfunction in Diabetic Erectile Dysfunction: Synergistic Application of ICP Measurement, Laser Speckle Blood Perfusion Imaging, and Ex Vivo Microvascular Tension Measurement [PDF]
American Journal of Men's HealthDiabetic erectile dysfunction (DMED) is a complex condition primarily characterized by impaired vasodilation and inadequate blood perfusion. As of 2023, the available techniques for evaluating vascular function are limited.
Siyi Pan +5 more
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Efficient estimation of smooth functionals in Gaussian shift models [PDF]
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 2021 49 ...
Koltchinskii, Vladimir, Zhilova, Mayya
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Smooth Mathematical Representation of the DER_A Aggregated Model
IEEE Access, 2023 System dynamic models for hundreds of inverter-based generators are necessary to represent the whole behavior and to perform stability analysis at the transmission and distribution level in the electric power system.
Jesus D. Vasquez-Plaza +4 more
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TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we present TailorNet, a neural model which predicts clothing deformation in 3D as a function of three factors: pose, shape and style (garment geometry), while retaining wrinkle detail.
Chaitanya Patel +2 more
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Functional Coefficient Panel Modeling with Communal Smoothing Covariates [PDF]
SSRN Electronic Journal, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Phillips, Peter C.b., Wang, Ying
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An integrative smoothed particle hydrodynamics method for modeling cardiac function [PDF]
Computer Methods in Applied Mechanics and Engineering, 2021 49 pages, 29 ...
Chi Zhang +4 more
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