Sentence examples for discriminative from from inspiring English sources

Frequent attendance defined as the top 10percentnt of attenders in primary care is discriminative from normal attenders in terms of patient characteristics compared to broader definitions [ 3].

In addition, the total correlation coefficients for all 22 items ranged from 0.347 to 0.672, which meant the items were considered discriminative from the total index and correlated with the total scale.

We believe that the remarkable sequence diversity observed in the wzx/ wzy and wzm/ wzt O-AGC genes of all known E. coli O serogroups appears to be sufficiently discriminative from one another to make identification of each of the known O serogroups possible.

However, due to high cost of neuroimaging data acquisition, most current ADHD studies are based on relatively small sample sizes, which reduce the statistical power needed to validate meaningful discriminative variable from a very large number of features extracted from structural MRI [6].

A triphone system was then constructed based on the alignments derived from the monophone system, and a linear discriminant analysis (LDA) transform was employed to select the most discriminative dimensions from a large context (five frames to the left and right, respectively).

The largest discriminative power from these proposed features has a cepstral peak prominence extracted from the first intrinsic mode function (p= 6.9443×10−32) which means, that among all newly designed features those that quantify especially hoarseness or breathiness are good candidates for pathological speech identification.

One popular solution is to apply a data-driven spatial filtering technique, such as common spatial pattern (CSP) [6], on multi-channel (e.g. 64 or 128 channels) monopolar recording EEG data, which can improve the SNR of signal and extract discriminative features from the mixture of signals, especially for two-class discriminations [7].

Notably, marked improvements were observed in the models' discriminative powers (from 71.1% to 85.7%) and goodness-of-fit values (from 449.5 to 391.1) up to the model no.

It makes use of data distribution which is rich of discriminative information from positive and negative samples, and also utilizes shape statistics which comes from average human template.

We propose a novel method to extract discriminative keywords from documents.

Extracting highly discriminative features from the lesion has a great impact on the recognition task.