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The SVMstruct implementation is based on the SVMlight quadratic optimizer.
The algorithm's matrix operation implementation is based on the COM component technology toolbox in Matlab 7.0.
These tasks are exemplified by several applications, whose robust implementation is based on the arrangement package.
The hardware implementation is based on the so-called analytic signal method.
Our implementation is based on the topological properties of a simplicial domain.
The implementation is based on the finite element discretisation of a fuel cell distributed parameter model.
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The components adapted in this implementation are based on the Enterprise JavaBeans component model.
The implementation was based on the MVVM (Model, View a ViewModel) architectural pattern which is briefly described below.
The technical implementation was based on the UIMA framework in conjunction with Weka.
BCDRT implementation was based on the acquisition of adequate digital retinographs, secure digital transmission, storage and retrieval of participants' data and reader-generated medical reports.
Availability and implementation: The implementation was based on the existing Gaussian process latent variable model toolbox (https://github.com/SheffieldML/GPmat); extensions for noise models and kernels accounting for censoring are available at http://icb.helmholtz-muenchen.de/censgplvm.
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