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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.
In this study, the SVM implementation was based on the freely available package LIBSVM 2.84 written by Chang and Lin [ 79], which can be downloaded from http://www.csie.ntu.edu.tw/~cjlin/libsvm/.ntu.edu.tw/~cjlin/libsvm/
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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The SVMstruct implementation is based on the SVMlight quadratic optimizer.
These tasks are exemplified by several applications, whose robust implementation is based on the arrangement package.
The components adapted in this implementation are based on the Enterprise JavaBeans component model.
The hardware implementation is based on the so-called analytic signal method.
The implementation is based on the finite element discretisation of a fuel cell distributed parameter model.
Our implementation is based on the topological properties of a simplicial domain.
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