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Moreover, it is a simple and fast hybrid algorithm for prototype reduction.
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A two-steps training algorithm is used: the RCE training algorithm for the prototype's parameters, and the multivariate linear regression for the output connection weights.
The authors used a custom Haskell embedding of algebraic DP to implement the alignment algorithm for rapid prototyping, easy evaluation of the scoring function and optimizations.
The triple-decker algorithm is verified for prototype flows, including simple and multi-layer fluids (Couette, Poiseuille, and lid-driven cavity), using highly accurate reference solutions.
We propose an efficient algorithm for designing the prototype filters of oversampled, near-perfect reconstruction (NPR), GDFT modulated filterbanks (FB) with arbitrary delay.
The algorithm for optimization of prototypes is based on topographic clustering, which is a well-known technique in bioinformatics, usually applied by means of two-dimensional SOMs [ 16].
PRB performed the analysis of the gene expression data, considered the utilization of the DVI_CU measure and the k-prototypes algorithm for gene expression and phenotypic data, implemented the mod k-prototypes clustering algorithm and DVI_CU, applied them to the mixed type data and wrote the paper.
In this current study, we evaluated a novel prototype algorithm for phantomless 3D evaluation of BMD developed directly by a vendor which can be integrated into its offered DECT postprocessing system to allow the automated assessment of BMD within common post-scan clinical workflows.
Evolutionary algorithms have been used recently for prototype selection showing good results.
To test the utility of the k-prototypes algorithm for clustering samples based on numeric microarray gene expression data and clinical chemistry evaluations with histopathological observations as categorical values, we introduce a mod k-prototypes algorithm.
We present a more formal approach, the mod k-prototypes algorithm, for clustering biological samples based on simultaneously considering microarray gene expression data and classes of known phenotypic variables such as clinical chemistry evaluations and histopathologic observations.
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