Sentence examples for time of classification from inspiring English sources

Their approach intended to predict the execution time of classification algorithms through very simple meta-attributes such as number of attributes and number of examples.

Not surprisingly, Sus-ASR rats had higher ASR at the time of classification (ASR 1, which is the classification criterion for this set of analyses) and continued to maintain elevated ASR responses 3 weeks after CFC (overall group effect: F 1,28) = 37.19, p<0.001, a significant group difference for ASR 2, p<0.001, and no group×ASR interaction: F 1,28) = 1.22, p = 0.28).

Colposcopists and pathologists were blinded to HPV genotyping results at the time of classification of GW.

The Codac system offers the opportunity to register the level of evidence and information available at the time of classification so that the value of the registered information can be estimated accordingly.

The confidence intervals (CIs) of storage times at each actual age overlapped such that there was no significant influence of the length of storage time on classification accuracy (data not shown).

Thus, each of the 1000 permutations generated a time-by-time map of classification accuracies like those in Figures 4A and 4B.

Classifiers were built for each time bin following Si presentation, and tested on each time bin following Sd and outcome presentation during the Reward phase, giving rise to (Association) time*(Reward) time maps of classification performance.

The architecture consisted of 61 inputs neurons, 3 hidden layers and 3 output neurons was found optimum in sense of learning time for classification of three pollutants.

This not only improves classification accuracy but also reduces the time complexity of classification.

The time courses of classification accuracy for trained and untrained sequences did not differ from each other.

All (Association) time*(Reward) time maps of classification performance were smoothed by a 2-D Gaussian kernel (σ = 30 ms) for display and for calculating peak-level shuffling statistics.