Sentence examples for datasets of size from inspiring English sources

However we do note that Deep Neural Networks require many orders of magnitude more computing resources than standard machine learning architectures, and as such are only tractable for making predictions on datasets of size ≤50k before implementing parallelisation techniques.

In brief, we synthesize large datasets of size N followed by randomly selecting (n = |Q |) from the large synthetic datasets.

The parametric bootstrap consists in randomly generating N independent datasets of size n on the basis of the reported sample size, mean and variance (Additional file 1).

We then used these reported means, standard deviations and the normal distribution assumption to build N = 10,000 datasets of size n = 50 (25 subjects in each group).

We made experiments on datasets of size 28.8, 57.6, 115.2, 172.8, 230.4, 288 and 576 GB, uploading them to the HDFS to retrieve the block distribution diagram as shown in Fig. 7.

Namely, 500 training datasets of size n are obtained by sampling without replacement the original dataset (of size N) such that each training set has n/2 subjects with each outcome.

Suppose the control samples come from two datasets, of sizes n1 and n2.

For synthetic datasets of sizes comparable to our real data size, do we recover known ground truth information after running our Markov chains for the appropriate amount of time?

(Note that to-appended, at-every, and in-volume are cumulative regardless of what order you put them in). This creates the output file ez-slice.h5 which contains a dataset of size 162×330 corresponding to the desired slice.

Figure 7 Modulus of the Multicomponent Wideband Spectral Matrix of the initial dataset (of size 3072 × 3072 with 3072 = 24 × 64 × 2).

A k-anonymity scheme guarantees that each user record cannot be disclosed from other users' record in a dataset of size k.