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The phrase "approach perform poorly" is not correct in written English as it lacks proper grammatical structure.
It could be used in a context where you are discussing a method or strategy that is not yielding good results, but it needs to be rephrased for clarity.
Example: "The new approach seems to perform poorly in comparison to our previous methods."
Alternatives: "method yields poor results" or "strategy is ineffective".
Exact(1)
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).
Similar(59)
The Hill approach performed poorly as well, but its performance could be improved somewhat by optimizing parameters "n" and "K".
Nevertheless, this approach performed poorly in comparison with other schema design patterns, as we will see.
Due to the limitation of bandwidth and buffer space, the flooding approach performs poorly in many situations.
While the conventional, unconstrained approach performed poorly, the new method had proven to be highly accurate and robust, only requiring a fraction of the data.
When signatures were extended to images from different years, the conventional approach performed poorly and multi-year signature generalization was more accurate.
The NB approach performed poorly on these models given it is not designed to detect complex interactions.
The AvA approach performed poorly, as most true associations were lost after correcting for multiple-hypothesis testing.
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.
These approaches perform poorly in conversational situations requiring contextual continuity over a series of utterances.
Furthermore, many approaches perform poorly for large AUC values or small sample sizes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com