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Adopting a Bayesian approach and using Gaussian priors, the proposed method is sparse in both the hidden layer (of SBELM subnetworks) and the input layer.
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However, despite widespread interest and discussion, empirical data concerning the validity of these brain activity-based methods is sparse.
Data on induction of twin pregnancies are limited in the literature and information on the risk of caesarean section related to induction methods is sparse.
For example, Wang et al. [22] and Somol et al. [23] proposed to select the most discriminative feature types based on the relationships between different feature types, both methods are sparse feature selections rather than filter methods.
Most methods for induction are used but data on risks related to induction methods are sparse.
Model comparison and model checking in the GLMM and GEE framework is not straightforward and suitable methods are sparse [ 41].
The uptake of current instrumentation methods are sparse suggesting the need for a low cost, portable method, which does not interfere with the manipulation technique.
Data comparing such phase-based estimates with those from IPW methods are sparse, but with investigators to date finding that they are comparable.
8) The Methods are sparse in detail and do not provide enough information (or references) for someone to reproduce the experiments.
In RBSR imaging, in order to realize the high azimuth resolution, a large number of sampling signal are required in traditional superresolution methods; even x is sparse.
The proposed method is called Sparse Heterogeneous Feature Representation (SHFR) and it aims to solve the HDA problem through a sparse feature transformation matrix G.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com