Sentence examples for the topical data from inspiring English sources

We recommend the algorithm derived from the TOPICAL data due to better predictive properties and less uncertainty.

In this report, any data identified by either the VMap acronym or as conforming to the VPF format/standard, the term "library" will also be used to denote the fact that multiple data layers will be available under the topical data indexes for each VMap tile.

The topical data sections of the inventory are followed by a brief discussion of Virtual Base Maps and their potential utility to UN as a cost-effective means of providing spatial referencing capabilities for small field offices, field work requiring GPS units, and to facilitate on-line map serving.

Models were developed using the larger TOPICAL data set and validated with SOCCAR.

The R values were highest with the BB (R= 0.75) when the model developed from TOPICAL data was tested on SOCCAR data and R= 0.61 for the model developed from SOCCAR data and tested on TOPICAL; the RMSEs were higher compared with other models (Table  3).

Hence, the BB developed from TOPICAL data predicted mean EQ-5D-3L to within 0.4%.

Given these differences, with attribute encoding consolidation and the various processes associated with the seamless mosaicing, between 30 and 40 individual topical data layers can be derived from a VMap source data library.

This paper goes along the topical automated data science and focuses on developing the OCAM (Online Cognitive Automated Mapper) system that allows to automatically-build cognitive maps without turning to experts.

I would bet the game is quickly scanning your Twitter followers and getting some obvious topical data, such as age range and sex.

The book, developed for use in an information visualization MOOC, covers data analysis algorithms that enable extraction of patterns and trends in data, with chapters devoted to "when" (temporal data), "where" (geospatial data), "what" (topical data), and "with whom" (networks and trees); and to systems that drive research and development.

Nevertheless, challenging models with seasonal influenza data is a promising validation strategy, because for seasonal influenza we have topical data.