Sentence examples for length classification from inspiring English sources

The article concludes with a simulation study in which the Bayesian sequential strategy is compared with other procedures that exist for similar classification decision problems in terms of average test length, classification accuracy, and average loss.

Length classification has mostly relied on the gel electrophoresis, which requires dyeing with invasive fluorescent chemicals such as ethidium bromide and SYBR Green, etc.

However, due to subjective decisions taken in the previous length variation classification, reproduction of the previous results had become difficult, hence in the PASS2.3 database re-classification, previous subjective decisions were not taken into account.

We found 7 min as the optimal signal length for classification, while maximizing specificity (wake detection).

The effect of analyzed segment length on classification accuracy is also examined.

We investigated the effect of history length on classification performance by changing the amount of history incorporated into the feature space.

The minimum sequence length for classification was set at 100 bp.

Since V3 is variable in length, many classification algorithms are not applicable.

This length-based classification largely coincided with the conventional sequence- and pharmacology-based classification, suggesting that the LT length contains some biological information when analysed at the population level.

As an initial step to realize this aim, we provide a proof-of-concept use of speech rate features, specifically, the set of recognition-derived, phone-specific lengths, for classification.

The presence of 5 candidate ncRNAs were also verified (the short read lengths precluded classification as asRNAs or sRNAs).