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The proposed methods are tested using three datasets.
We evaluate our proposed techniques using three datasets and the results show that our proposed methods are more efficient and accurate than several existing prediction models.
3, using three datasets collected from real software applications.
The application to ligand similarity searching was exemplified using three datasets, each of which has a different purpose.
The authors evaluated their method using three datasets: Freiburg database, CHB-MIT databaseightght patients), and National Taiwan University Hospital database for scalp EEG (one patient)[51].
The DE algorithm is applied to optimize the membership function of the ANFIS network using three datasets with a wide range of data.
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We assessed richness patterns using two datasets.
We demonstrated these effects using two datasets, one containing visual and the other auditory ERPs.
The ability of the Neural BoF model to improve the classification performance is demonstrated using four datasets, including a large-scale dataset, and five different feature types.
The benefits of the proposed method, both in terms of accuracy and training times, are demonstrated on a prediction task using four datasets of polyphonic music.
In this paper we reexamine this postulate by using two datasets collected from real programs, and argue that software science data are featured with partial repeatability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com