Results 1 to 10 of about 3,647,752 (207)
Smooth LASSO estimator for the Function-on-Function linear regression model [PDF]
Computational Statistics & Data Analysis, 2022 A new estimator, named S-LASSO, is proposed for the coefficient function of the Function-on-Function linear regression model. The S-LASSO estimator is shown to be able to increase the interpretability of the model, by better locating regions where the coefficient function is zero, and to smoothly estimate non-zero values of the coefficient function ...
Fabio Centofanti +3 more
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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
doaj +3 more sources
Computing motivic zeta functions on log smooth models [PDF]
Mathematische Zeitschrift, 2019 Abstract 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. This formula plays an essential role in recent work on motivic zeta functions of degenerating Calabi–Yau varieties by the ...
Bultot, Emmanuel, Nicaise, Johannes
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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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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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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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Universal Smoothed Score Functions for Generative Modeling
CoRR, 2023 Technical ...
Saeed Saremi +2 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
semanticscholar +1 more source
Statistica Sinica, 2023 Summary: Smoothness penalties are efficient regularization and dimension reduction tools for functional regressions. However, for spiky functional data observed on a dense grid, the coefficient function in a functional regression can be spiky and, hence, the smoothness regularization is inefficient and leads to over-smoothing.
Luo, Ruiyan, Qi, Xin
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Adaptive smoothing spline estimator for the function-on-function linear regression model
Computational Statistics, 2022 AbstractIn this paper, we propose an adaptive smoothing spline (AdaSS) estimator for the function-on-function linear regression model where each value of the response, at any domain point, depends on the full trajectory of the predictor. The AdaSS estimator is obtained by the optimization of an objective function with two spatially adaptive penalties ...
Centofanti F. +4 more
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