ML algorithms that have been implemented using concurrency control include non-parametric clustering, correlation clustering, submodular maximization, and sparse convex optimization.
Statistical analysis was implemented using the permutation-based (non-parametric) randomize tool within FSL.
The proposed methodology is demonstrated through an IGA-based parametric design optimization framework implemented using the Grasshopper algorithmic modeling interface for Rhinoceros 3D.
The underlying clustering model that we use is based on a Dirichlet process (DP) formulation, a well recognized semi-parametric technique that has been extensively studied [ 15, 16] and which can be implemented using a Markov chain Monte Carlo (MCMC) algorithm.
The best k-NN configurations were then used for pixel level estimation; the accuracy was estimated with a bootstrapping procedure; and the results were compared to estimates obtained using parametric regression methods implemented on the same data set.
Data were analyzed using parametric and non-parametric statistical methods.
Parametric data will be evaluated using parametric testing.
Eastern time on Jan . 10unless the patch is used, Parametric said on its Web site yesterday.
The model has been implemented in parametric form using the APDL (Ansys Parametric Design Language).
