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Model-Based Clustering and Classification for Data Science, 2019
In our discussion of regression to date we have assumed that all the explanatory variables included in the model are chosen in advance. However, in many situations the set of explanatory variables to be included is not predetermined and selecting them ...
Bastian Goldluecke +8 more
semanticscholar +1 more source
In our discussion of regression to date we have assumed that all the explanatory variables included in the model are chosen in advance. However, in many situations the set of explanatory variables to be included is not predetermined and selecting them ...
Bastian Goldluecke +8 more
semanticscholar +1 more source
2009
Abstract An old but generally very powerful method of approximation is the variational approach. The main ideas involved and a few applications are considered in this chapter.
Kenichi Konishi, Giampiero Paffuti
+4 more sources
Abstract An old but generally very powerful method of approximation is the variational approach. The main ideas involved and a few applications are considered in this chapter.
Kenichi Konishi, Giampiero Paffuti
+4 more sources
Variational iteration method – a kind of non-linear analytical technique: some examples
, 1999In this paper, a new kind of analytical technique for a non-linear problem called the variational iteration method is described and used to give approximate solutions for some well-known non-linear problems.
Ji-Huan He
semanticscholar +1 more source
End-to-End Variational Networks for Accelerated MRI Reconstruction
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020The slow acquisition speed of magnetic resonance imaging (MRI) has led to the development of two complementary methods: acquiring multiple views of the anatomy simultaneously (parallel imaging) and acquiring fewer samples than necessary for traditional ...
Anuroop Sriram +7 more
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Variational transcorrelated method
The Journal of Chemical Physics, 2010We propose a new approach to the use of Jastrow ansatz in the calculation of electron correlations, based on a modification of the transcorrelated method of Boys and Handy [Proc. R. Soc. London, Ser. A 309, 209 (1969)]. In this new method, the original transcorrelated orbital equation is replaced with a general variational equation for the reference ...
openaire +2 more sources
Adaptive variational mode decomposition method for signal processing based on mode characteristic
Mechanical systems and signal processing, 2018Variational mode decomposition is a completely non-recursive decomposition model, where all the modes are extracted concurrently. However, the model requires a preset mode number, which limits the adaptability of the method since a large deviation in the
J. Lian +3 more
semanticscholar +1 more source
Successive variational mode decomposition
Signal Processing, 2020Variational mode decomposition (VMD) is a powerful technique for concurrently decomposing a signal into its constituent intrinsic modes. However, the performance of VMD will be degraded if the number of modes available in the signal is not precisely ...
M. Nazari, S. M. Sakhaei
semanticscholar +1 more source
, 2014
Using the variational method and supersymmetric quantum mechanics we calculated, in an approximate way, the eigenvalues, eigenfunctions and wave functions at the origin of the Cornell potential.
Alfredo Vega, J. Flores
semanticscholar +1 more source
Using the variational method and supersymmetric quantum mechanics we calculated, in an approximate way, the eigenvalues, eigenfunctions and wave functions at the origin of the Cornell potential.
Alfredo Vega, J. Flores
semanticscholar +1 more source