Entropic regularization is able to precisely remove meaningless peaks in DRT spectra.Entropic regularization can be recast in a Bayesian framework.L-curve method can be used to select the regularization parameter for entropic DRT.Entropic regularization is more accurate to recover multidimensional DRTs....
To avoid overfitting, we establish a regularization term that is formulated as \({\mathscr {L}}_{reg} = \frac{1}{2}\sum _{i=0}^{I}(||W^i||_2^2 + ||\widehat{W^i}||^2_2)\), where \(W^i\) and \(\widehat{W^i}\) indicates the weight of the encoder and decoder ...
Multi-view subspace clustering with adaptive locally consistent graph regularization Article 05 June 2021 Explore related subjects Discover the latest articles, news and stories from top researchers in related subjects. Artificial Intelligence Data Availibility The datasets selected in this paper are ...
Table 1 reports a comparison between the proposed method and two other clustering algorithms based on the incomplete Cholesky decomposition, namely algorithms (for a fair comparison, we report the results of the algorithm that does not use the L1 regularization) [18,22]. The comparison concerns ...
‘When these exits noises in the process of CS measurement, the propose algorithm can estimate the amplitude of noises, then automatically adjusts the threshold of regularization to reduce the noise effectively.’ The sentence needs to be rephrased. Author Response Please see the attachment. Author...
A vector entropy consisting of the second order entropy (Ent-2) and the cross entropy is constructed as the regularization term which incorporates the prior motion knowledge into the estimation process. By imposing the motion constraints, the vector-entropy regularization converts the ill-posed ...
In the previous study, crisp possibilistic clustering and its variant has been proposed by using L1-regularization. These crisp possibilistic clustering methods induce the crispness in the membership function. In this paper, entropy based crisp possibilistic relational clustering is proposed for handling ...
Kukal and Tran [10] have proposed a new candidate from the generalized gamma distribution by its symmetrization and regularization. We have investigated the tail distribution of the returns of a large number of world indices. Eryigit et al. [11], De Domenico et al. [12] have tested the ...
Ni-Co-Cr-Al-Fe-based high-entropy alloys (HEAs) have been demonstrated to possess exceptional oxidation resistance, rendering them promising candidates as bond coats to protect critical components in turbine power systems. However, with the conventional time-consuming alloy design approach, only a sm...
-ror--reg: Specify the type of regularization. Default is L2 regularization. L1 and L2 are supported. -ior--iteration: The method relies on iterative scaling to find the optimal parameters. This option specifies the number of iterations. Generally, the more iterations the model runs, the bette...