Sentence examples for parallel classification from inspiring English sources

The parallel classification, i.e., the multithreading aspect, is implemented by configuring the AUC of the weak classifier for each data category into a real-value lookup list.

At the parallel classification level, using 1-v-1 strategy, the fault features extracted by various signal analysis methods are transferred into the multiple parallel SVM and the local classification results are obtained.

In athletics, where the parallel classification is T13, runners do not use guides in competition and generally do not use them in training.

The need to relocate each of the building's 3.5million volumes twicefirst to temporary locations, then back, as work proceeded aisle by aislewas turned to advantage, so that by the end of the renovation related materials in the library's two classification systems (see § Parallel classification systems) were physically adjacent for the first time.

To quantify - in terms of gene expression - the contribution of Membranome genes in defining the tumor type specificity, we run a parallel classification study on primary tumors and tumor derived cell lines.

A consensus statement of the Movement Disorder Society includes a parallel classification scheme that categorizes three tremor syndromes associated with Parkinson's disease (Deuschl et al., 1998).

The authors in [85] tackle colocation interference and perform four parallel classifications on each application to evaluate the impact of vertical and horizontal scale, server configuration, and the impact of colocating applications.

In the present study we demonstrated that, using the whole protein spectra, we were able to cluster our patients into subcohorts paralleling classification based on DNA microarray profiling data.

And parallel population classification is adopted to design parallel mechanism for all sub-populations, which can keep the population diversity according to affinity.

A second challenge would be to test in parallel multiple classification models and to select the best one, which dynamically better matches observed measurements.

A pre-processing procedure using latest results of parallel Random Forest classification algorithm to determine valid positions of base stations on a terrain of 3D GIS is proposed.