Search results
Results from the WOW.Com Content Network
An industry standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the exchange of information easier and faster because it allows heterogeneous organizations to share an agreed vocabulary, semantics, format, and quality standard for data.
The Standard for Exchange of Nonclinical Data (SEND) is an implementation of the CDISC Standard Data Tabulation Model (SDTM) for nonclinical studies, which specifies a way to present nonclinical data in a consistent format. These types of studies are related to animal testing conducted during drug development.
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]
Acceptance test–driven development (ATDD) is a development methodology based on communication between the business customers, the developers, and the testers. [1] ATDD encompasses many of the same practices as specification by example (SBE), [2] [3] behavior-driven development (BDD), [4] example-driven development (EDD), [5] and support-driven development also called story test–driven ...
FR measurements deliver the highest accuracy and repeatability but can only be applied for dedicated tests in live networks (e.g. drive test tools for mobile network benchmarks). POLQA is a full-reference algorithm and analyzes the speech signal sample-by-sample after a temporal alignment of corresponding excerpts of reference and test signal.
The Seabed Survey Data Model (SSDM) is an industry standard data model for how seabed survey data is stored and managed by oil and gas companies. The International Association of Oil & Gas Producers (IOGP) developed and published this standard in October 2011. [ 1 ]