Sentence examples for approaches perform poorly from inspiring English sources

These approaches perform poorly in conversational situations requiring contextual continuity over a series of utterances.

On the contrary, sophisticated machine learning approaches perform poorly because of the lack of gold standard sets of interactions.

In systems where inbred samples are of primary interest, current clustering approaches perform poorly due to the inability to clearly identify a heterozygote cluster.

Furthermore, many approaches perform poorly for large AUC values or small sample sizes.

The combinatorial approaches performed poorly for Challenge 41 (see Additional file 1: Figure S9), monobenzyl phthalate, where the main peak is a well-known rearrangement that is not covered by these approaches.

Looking at individual challenges, all machine learning approaches performed poorly for Challenge 36, which was a 3 peak spectrum of a substance typically measured in positive mode (see Additional file 1: Figure S8).

All three approaches performed poorly when estimating ancestral states of deep nodes, as indicated by the large disparities between estimates made with and without fossils.

Under non-random crossover scenarios (figure 1C), all approaches performed poorly irrespective of the crossover percentage with the exception of the AT analyses when the true HR was 1.5 and the crossover was 2% (table 1).

Clearly, the simple multi-start (SMS) approach performed poorly in both cases: in GOsc, SMS needed 50 times more computation time than eSS2 to achieve the vicinity of global minimum, while in TSMP it could not find it in the given computation time budget.

Both the rule- and threshold-based methods and the semi-supervised approach perform poorly (10 22% false negative error rates) on a random sample of optoelectronics inventors – arguably the closest of our sub-samples to what might be expected of the majority of inventors in the USPTO (based on disambiguation-relevant metrics).

The Hill approach performed poorly as well, but its performance could be improved somewhat by optimizing parameters "n" and "K".