Sentence examples for relevant for classifying from inspiring English sources
This methodology, therefore, is of fundamental importance for obtaining a classifier with a high rate of precision and demonstrates how the knowledge acquired by the classifier is relevant for classifying sequences with an unknown classification a priori.
K- NN cannot make use of the unlabeled data: the nearest neighbors that are relevant for classifying an entry are its labeled neighbors only.
Therefore, the development of studies that elaborate normative tables with a large sample size may be relevant for classifying Brazilian jiu-jitsu athletes.
Applying this methodology will be highly relevant for classifying closely related cell types, both in the normal, but also the diseased state and to assess the relative importance of specific TF families for each state.
All domains relevant for classifying the TAPs are represented by a "ls" ("glocal") hidden Markov model (HMM), that is, global with respect to the profile and local with respect to sequence (as compared with "fs" HMMs that are local with respect to both).
The presence or absence of organic certification was determined to be the only relevant criterion for classifying cropping practices.
In Williamson's view, there is a distinctive philosophical method in which intuitive judgements play a central role, but there is no warrant for classifying the relevant intuitions as a priori rather than a posteriori (Williamson 2013).
Measuring these tau species proved informative for classifying AD from relevant differential diagnoses.
Thus, the essential task of a motor imagery BCI is to extract the task-relevant ERD/ERS patterns from EEG signals for classifying subject's motor intentions.
This even holds for the perturbation graph alone indicating that an appropriate thresholding strategy for classifying observed changes as relevant or not delivers large amounts of meaningful information.
The system is composed of two main modules: a feature extractor for obtaining the most relevant characteristics from the inertial signals every second, and a machine learning algorithm for classifying between the different activities.
