Results 41 to 50 of about 13,863,270 (332)
Implementation Aspects in Regularized Structural Equation Models
This article reviews several implementation aspects in estimating regularized single-group and multiple-group structural equation models (SEM). It is demonstrated that approximate estimation approaches that rely on a differentiable approximation of non ...
Alexander Robitzsch
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Differentiable vector graphics rasterization for editing and learning
We introduce a differentiable rasterizer that bridges the vector graphics and raster image domains, enabling powerful raster-based loss functions, optimization procedures, and machine learning techniques to edit and generate vector content.
Tzu-Mao Li +3 more
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Differentiable Earth mover’s distance for data compression at the high-luminosity LHC
The Earth mover’s distance (EMD) is a useful metric for image recognition and classification, but its usual implementations are not differentiable or too slow to be used as a loss function for training other algorithms via gradient descent. In this paper,
Rohan Shenoy +7 more
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Differentiation of Interval Functions [PDF]
This paper is concerned with differentiation of interval functions appearing in interval analysis. Two definitions of a derivative are given; the first one uses an isometric restricted imbedding of the quasilinear space of intervals on the real line R, and the other definition is independent ofthat imbedding.
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Rational taxation in an open access fishery model
We consider a model of fishery management, where n agents exploit a single population with strictly concave continuously differentiable growth function of Verhulst type.
Rokhlin Dmitry B., Usov Anatoly
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Complex Function Differentiability [PDF]
Complex Function Differentiability For a complex valued function defined on its domain in complex numbers the differentiability in a single point and on a subset of the domain is presented. The main elements of differential calculus are developed. The algebraic properties of differential complex functions are shown.
Chanapat Pacharapokin +3 more
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On boundedly-convex functions on pseudo-topological vector spaces
Notions of a boundedly convex function and of a Lipschitz-continuous function are extended to the case of functions on pseudo-topological vector spaces.
Vladimir Averbuch
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تمثیل الدوال القیاسیة المستمرة بواسطة مجهر
، و 12°G"> الشبح لبیانها 12G"> ، نفرض انه توجد نقطة قیاسیة 12X0∈R"> وفترة 12I0"> حول 12X0"> بحیث أن : لکل 12 X∈I0"> ، 12X,FX"> محدودة یؤدی إلى 12X≃X0"> . (i) بالإضافة إلى ذلک إذا وجدت نقطتان محدودتان 12X1"> ، 12X2"> فی 12I0">
Tahir H. Ismail, Hind Y. Saleh
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Smooth Twin Parametric Insensitive Support Vector Regression [PDF]
As one of the machine learning methods, twin parametric insensitive support vector regression (TPISVR) had a simple mathematical model and good learning performance.
HUANG Huajuan, WEI Xiuxi, ZHOU Yongquan
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clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation [PDF]
Accurate segmentation of tubular, network-like structures, such as vessels, neurons, or roads, is relevant to many fields of research. For such structures, the topology is their most important characteristic; particularly preserving connectedness: in the
Suprosanna Shit +8 more
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