Sentence examples for data as simple from inspiring English sources

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We hope to show that suitably formulated models of perception and decision-making enable inference on subjective beliefs, even when using data as simple as reaction times.

The PCA analysis was proposed as a final data analysis method, making the interpretation of multivariate data as simple as their measure.

To make the deposition and archiving of reflection data as simple as possible, the CIF written by SHELXL now includes the.hkl reflection data file, embedded as CIF text: _shelx_hkl_file ;... reflection data in SHELX HKLF 2, 3, 4 or 5 format... ; _shelx_hkl_checksum 12345 The checksum provides a check that the data have not been corrupted accidentally.

In his preface to the new 99-page report Dana Gioia, chairman of the endowment, described the data as "simple, consistent and alarming".

A meta-analysis was not possible due to the structure of the underlying survival success data as simple percentages without a measure of variance and without control groups in most studies.

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We want to believe getting value from big data is as simple as pouring in the data, running a program and getting insights, but in fact, it's much more complicated than that.

Most users are small- to medium-sized businesses and Collabspot's aim is to make data entry as simple as possible for sales staff.

Sometimes stealing data is as simple as wearing a convincing hard hat or walking onto a loading dock, before accessing an unsecured computer or photocopying a few sensitive documents and strolling out the front door.

It is now an emerging standard of web communication that makes high-definition, high-resolution, low-bandwidth video, audio chat and peer-to-peer data transfer as simple as a single browser link.

Most EMR platforms focus on adults and parents, who clearly have different needs than their children, so WeSprout is focusing not only on the pediatric context, but also on making record-keeping and data entry as simple as possible.

Recent work has shown that even when a data set as simple as the MNIST database of handwritten digits is re-contextualized into an open set problem where not all digits are known at training time, the performance of state-of-the-art supervised learning methods drops precipitously [5].

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