Sentence examples for order of classifying from inspiring English sources
Now we consider the second phase, the order of classifying a new pattern has also been estimated in the aforementioned work as O(N p ), due to the distance calculation among the new vertex and the N p vertices in the principal graph.
Patterns of adherence behaviour: The TDA data were also used to produce graphical representations of adherence in order to classify patterns of adherence behaviour.
During the baseline evaluation, the patient will be asked to provide an anamnesis of the characteristics of the headache, in accordance with the recommendations of the International Headache Society, in order to classify the type of headache and to assess the term of the pain.
The doctrine of "net neutrality," established by a set of FCC rules called the Open Internet Order of 2015, classifies the Internet as a Title II utility.
The ALPHA health-related fitness test battery also suggest an evaluation of the pubertal development of children and adolescents in order to classify themselves in one of the five stages of pubertal maturity defined by Tanner and Whitehouse [ 51].
K-means clustering algorithm is another way of classifying data in order to find patterns of expression.
We use this approach in order to significantly reduce the probability of classifying as negatives associations which are real but not present in the database.
Casemix logic requires lots of data input in order to classify for each of its class.
These cutoff points were established in a representative sample of German children in order to classify about 10% of children as borderline and 10% as abnormal (Woerner et al. 2004).
HUI questionnaires are designed to ask the minimum number of questions in order to classify the health status of a subject according to both the HUI2 and HUI3 systems.
In [17], Camurri et al. investigate the possibility to use decision trees in order to classify motions of dancers and musicians in a discrete set of four emotional categories (joy, anger, fear, grief) with the help of mid-level features modeling the motion expressivity.
