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A number of algorithms such as Group Lasso [19], mixed ℓ 2/ℓ 1 program [20], block orthogonal matching pursuit (BOMP) algorithm [11], block sparse Bayesian learning [21], block iteratively reweighted least squares (BIRLS) [22], and block iterative support detection (block-ISD) [14] have been shown to recover block sparse signals.
fMRI connectivity graphs are constructed in different brain states and fed into an iterative support vector classifier that is enriched by shortest-path kernel.
The results bring forward iterative support with the aim to revise, adapt and add to the current PSS design tools and to better support future generation designers for the challenges that come with designing these product service systems.
Block-ISD method [14] is based on the iterative support detection (ISD) reconstruction algorithm [25].
We demonstrate that the recovery rate of l1-minimization on signals with fast decaying distribution of nonzero values can be enhanced by applying a simple, novel iterative support detection strategy.
We confirmed the robustness of the DSS-gene signature using the iterative Support Vector Machine (SVM) classifier learning method [39], which reclassified all the 19 DSS patients together.
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We expect the first year of the fund to be experimental and iterative, supporting a variety of collaborative projects that explore the societal challenges of AI through unique interdisciplinary activities.
This paper surveys different hardware platforms available for big data analytics and assesses the advantages and drawbacks of each of these platforms based on various metrics such as scalability, data I/O rate, fault tolerance, real-time processing, data size supported and iterative task support.
Iterative SVM (Support Vector Machine) method associated with leave-one-out cross-validation [39] was used to assess the robustness of DSS-gene signature.
The effects of these factors on the coating fatigue failure were described via an iterative FEM supported method.
These configurations are updated with new features within an iterative procedure supporting the systematic identification of the optimum number of pressure loops together with several operating optimization parameters.
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