A comprehensive MATLAB toolbox implementing the method is freely available; a python implementation providing the basic capabilities is also available.
Moreover, this second part of the toolbox includes implementation tips and other useful details which may be important during the implementation phase.
"We have the urgency, we have the vision, what we now need to do is fill the toolbox of implementation.
In this work, to investigate the visual similarities among vessel types, MatConvNet Toolbox [19] implementation of a pre-trained convolutional neural network (CNN) architecture, VGG-F [20], is adopted.
The detailed LS-SVM implementations are chosen from Matlab R2012b bioinformatics Toolbox, which implements the L2 soft-margin SVM classifier [ 19].
This paper presents an incremental update of the ooDACE toolbox introducing an implementation of Gradient Enhanced Kriging which has been tested and validated on several engineering problems.
Our Inverse Bifurcation Toolbox is an implementation of the above described algorithm.
Specifically in sampling, COBRA toolbox uses an implementation of the artificial centered hit-and-run (ACHR) sampler algorithm with slight modifications to generate such a set of flux distributions that uniformly sample the space of all feasible fluxes.
Details on CVM and accuracy computing, as well as details of the toolbox used for implementation of LLE, LTSA and Isomap algorithms, are provided in Supplementary Data (paragraph 1).
Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification (RDA).
