Sentence examples for larger data sets and from inspiring English sources

As we accumulate larger data sets and our algorithms get sharper, we can expect to see things like better propensity modeling anchored with omnichannel data.

Our ongoing works are as follows: (1) further mining the contact records and utilizing the contact location to establish contact location changing pattern; (2) evaluating VSTP on larger data sets and deeply mining the record for longer period; (3) designing OMDTN routing algorithm based on these patterns to overcome the difficulty of ocean network coverage.

Our algorithm showed also good performance in clustering larger data sets and in identifying inter/intra-patient quasispecies.

In fact, it is often suggested that overcoming nonlinearity will require much larger data sets and significantly more computing power.

In particular, we chose HDF5 rather than NetCDF because HDF5 better supports larger data sets and hierarchical data and provides compression.

In both instances, a sample of approximately 100 consultations with hypertension patients were drawn from larger data sets and subjected to further analysis.

A larger data set and a longer observation period would be needed to address these questions.

The rest of the trees in the larger data set, and those in the remaining data set, were used for model validation.

Commonly, this is obtained by sampling from a larger data set and employing human annotators to label each data point (tweet) according to a coding frame ([16, 17]).

A quantitative PCR validation strategy using a larger data set and three muscles was used to help define secondary and tertiary responses in hypertrophy.

However, this possibility needs to be further investigated using a larger data set and focusing on mutation status.