That leads to the inclusion of high-quality sources, like the New York Times, which otherwise might go overlooked at sites that depend more on strictly data-driven models like Decide.com and Snapsort.
Anyhow, the described network reconstruction approach is strictly data-driven and thus usable even when no information is available: to set parameter k we are exploring different solutions, based on either the stability of predictions or the ranking of links.
One of the methods that performed best in this task was a simple approach, strictly data-driven, that encodes significant effects of stimuli and inhibitors on measured proteins in a cause effect network (Eduati et al., 2010).
A strictly data-driven approach was followed for the model selection with no a priori assumptions about biological significance or relative importance of features were incorporated into our model at any time.
Because DEA/Malmaquist requires strictly balanced data, we used only data from 2006 and 2007 for both DEA models.
More strictly, Big data frameworks go beyond the issue of data volume and address much wider issues covering augmented V's of data, for instance volume, velocity, variety, value and veracity [13].
Data types, used in this modelling, are strictly C++ data types.
In-network processing, compression and approximation are therefore used to ensure that only strictly useful data are exchanged by Things, alleviating the need for many simultaneous data streams.
Due to the strictly controlled data collection process and high coverage, as reported previously [ 21], the data is highly representative.
However, the analysis presented here relies strictly on data from the state pages.
That, at least, is the view of Steve Hilton, the co-founder and CEO of Crowdpac, a Palo Alto based start-up that claims to provide strictly objective data about how and where all the candidates get their money.
