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The Validation or recognition of foreign studies and degrees is the process whereby a competent authority in one country formally recognises the value of a qualification from a foreign country. [1] This can entail total or partial validation of foreign university and non-university studies, degrees and other qualifications.
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.
An Extended Validation (EV) Certificate is a certificate conforming to X.509 that proves the legal entity of the owner and is signed by a certificate authority key that can issue EV certificates. EV certificates can be used in the same manner as any other X.509 certificates, including securing web communications with HTTPS and signing software ...
An intergovernmental symposium in 1991 titled "Transparency and Coherence in Language Learning in Europe: Objectives, Evaluation, Certification" held by the Swiss Federal Authorities in the Swiss municipality of Rüschlikon found the need for a common European framework for languages to improve the recognition of language qualifications and help teachers co-operate.
Independent Software Verification and Validation (ISVV) is targeted at safety-critical software systems and aims to increase the quality of software products, thereby reducing risks and costs throughout the operational life of the software. The goal of ISVV is to provide assurance that software performs to the specified level of confidence and ...
In the standardized algorithm, the following steps are performed for each certificate in the path, starting from the trust anchor. If any check fails on any certificate, the algorithm terminates and path validation fails. (This is an explanatory summary of the scope of the algorithm, not a rigorous reproduction of the detailed steps.)
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]
Test validity is the extent to which a test (such as a chemical, physical, or scholastic test) accurately measures what it is supposed to measure.In the fields of psychological testing and educational testing, "validity refers to the degree to which evidence and theory support the interpretations of test scores entailed by proposed uses of tests". [1]