Sentence examples for new sample for from inspiring English sources
Our request to the local governing bodies who now hold stewardship over the type location at Mu'olea to collect a new sample for genetic analysis were denied, so we could not determine the relationship between our samples and P. toxica.
The confidence for the new sample for being positive <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0012382.e024.PNG" class= inline-graphic"/>, is calculated as the ratio of the number of positive samples in helper set having a classifier output lower than that of the new sample to the number of all positive samples in the helper set.
After one month of treatment with levofloxacin a new sample for control from the left inguinal lesion was taken with a syringe, resulting sterile after incubation for a week in selective media.
Comparing the SML and our method for the birth-death example, we tested the CPU time used to generate a new sample for both methods, eg. SSA for SML (unconstrained) and RJMCMC for SGD, which is approximately the same.
Over-sampling generates new samples for the minority class until both classes are equally represented.
First, the initial state is obtained as the mean of the samples in k - 1, s k 0 = ∑ r s k - 1 ( r ) / N. New samples for the chain are generated from a proposal distribution Q.
A continuous behaviour across the extreme points of the season (months 1 and 12) is forced by creating new samples for the virtual months 0 and 13 containing the same patterns as December and January, respectively.
The new samples for the subsequent time instant are generated using the proposal distribution q ( x k + 1 ) = f ( x k + 1 | x k = x k [ l ] ), where for the generation of each new particle x k + 1 [ l ], the previous particle x k l is chosen randomly with probability ω k l.
Most polls, including the ones noted above, are based on new samples for each new poll.
NHANES surveys are cross-sectional, recruiting new samples for each wave.
Next, we applied semi-supervised learning to detect synapses in new samples for which training data is not available (Table 2).
