Your English writing platform
Free sign upExact(35)
This gives researchers quick access to benchmarking datasets like SQuAD, bAbI tasks and WebQuestions.
Additionally, we perform an extrinsic evaluation by computing semantic similarity between words in benchmarking datasets.
Benchmarking datasets, which are useful for conducting comparative experiments in the area.
The numerical experiments were designed and conducted using eleven MLD benchmarking datasets.
Available multi-spectral imagery benchmarking datasets will be considered also for further testing, for example the MUULF Gulfport dataset [27].
Extensive experiments are carried out over three benchmarking datasets of different characteristics including Caltech101, WikipediaMM, and Pascal VOC'07.
Similar(25)
Here, we introduce some benchmarking dataset as follows.
Where, G2D method gave accuracy and sensitivity of 0.73 and 0.53 respectively with the benchmarking dataset.
All of these methods improved the prediction accuracy on the same benchmarking dataset [ 26, 27].
Some benchmark datasets are used to evaluate the proposed algorithm.
We used two benchmark datasets to evaluate our system.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com