The phrase "a larger dataset when" is correct and usable in written English.
It can be used in contexts where you are discussing conditions or scenarios that involve a larger dataset.
Example: "We can achieve more accurate results with a larger dataset when we apply advanced statistical methods."
Alternatives: "a bigger dataset when" or "an expanded dataset when".
To address the formuated joint learning problem, we propose an online algorithm that consists of a closed-form solution for optimizing the sensing matrix with a fixed sparsifying dictionary and a stochastic method for learning the sparsifying dictionary on a large dataset when the sensing matrix is given.
We believe that the proposed Hadoop-based approach will be useful on the larger dataset when the number of drug combinations greatly increases in future.
We avoided repetition of data on the same resident from different studies by preferentially using data from the larger dataset when necessary.
The results show that ConTra can process large dataset when hosted in servers with fast processors.
Similarly, for the large dataset, when K < 10, both algorithms perform well.
This is confirmed when a larger dataset including partial sequences is used to construct a phylogeny with any of the 4 methods used.
Whether each mutator gene is a causative factor for a particular GC content variation requires further experiments and a larger dataset, which may prove problematic when HGT is factored in.
When using a larger dataset and running the topic analysis with larger numbers of topics, more-fine-grained topics pointing to specific techniques, skill sets or communities might emerge that would allow to draw conclusions that are more generalizable and point to specific promising citizen science opportunities in the forest monitoring domain.
Yet, events of introgression from wild animals into domestic herds are incidental and usually male-mediated [ 50], and they were not identified so far even when analyzing a larger dataset of wild and domestic control-region sequences [ 7, 13].
SCANAIR is found to give correct predictions with reasonably good accuracy when applied to a larger dataset of several tests.
