Results 21 to 30 of about 169,109 (267)
KOLMOGOROV'S SPLINE NETWORK [PDF]
In this paper, an innovative neural-network architecture is proposed and elucidated. This architecture, based on the Kolmogorov's superposition theorem (1957) and called the Kolmogorov's spline network (KSN), utilizes more degrees of adaptation to data than currently used neural-network architectures (NNAs).
B, Igelnik, N, Parikh
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Quasi‐interpolation by splines on the uniform knot sets
In the case of uniform grids, the error of the spline interpolant of a function defined on R has been well estimated. On the basis of the spline interpolation formula for functions defined on R we derive quasi‐interpolation formulae for functions defined
Evely Leetma
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Group-Lasso on Splines for Spectrum Cartography [PDF]
The unceasing demand for continuous situational awareness calls for innovative and large-scale signal processing algorithms, complemented by collaborative and adaptive sensing platforms to accomplish the objectives of layered sensing and control. Towards
Georgios B. Giannakis +4 more
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In this paper, we study the problem of unique interpolation and approximation by a class of spline functions,L-splines, containing as special cases the deficient and generalized spline functions ofAhlberg, Nilson, andWalsh [3, 5, 6], the Chebyshevian spline functions ofKarlin andZiegler [27], and the piecewise Hermite polynomial functions, as ...
VARGA, R.S., SCHULTZ, M.H.
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Understanding the learning dynamics and inductive bias of neural networks (NNs) is hindered by the opacity of the relationship between NN parameters and the function represented.
Justin Sahs +8 more
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L’epoca delle splines: geometrie e linee del progetto contemporaneo
L’iconografia dell’architettura e del design di ogni epoca si caratterizza per l’uso di linee e di forme geometriche che vengono rese realizzabili dall’evoluzione dei materiali e delle tecniche costruttive, nonché dall’introduzione di particolari ...
Enrico Cicalò +3 more
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Simultaneous profiling of biospecimens using different technological platforms enables the study of many data types, encompassing microbial communities, omics, and meta-omics as well as clinical or chemistry variables.
Antoine Bodein +3 more
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25 pages, 6 ...
Michael DiPasquale +2 more
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Single (one-dimensional) and bi-cubic (two-dimensional) splines have been used in numerical weather prediction models since about 1970. Especially the semi-Lagrangian advection schemes have been developed with the help of the spline interpolation method.
Thomas Prenosil, H.G. Becker
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Fast spline quasicollocation solvers of integral equations
A fast (C, Cm) solver for linear Fredholm integral equations u = Tu+f with smooth data is constructed on the basis of a discrete version of the spline quasicollocation method.
Gennadi Vainikko, Indrek Zolk
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