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The schema is based on the structured modeling paradigm as a formalism for conceiving, representing and manipulating a wide variety of models.
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The new schema is based on detecting the early signs of the disease.
The ensemble schema is based on three classifiers; two are statistical (a Naïve Bayes and a Maximum Entropy learner) and the third one is a knowledge-based tool performing deep analysis of the natural language sentences.
The classification schema is based on: (i) a continuum of organisational decision characteristics; (ii) a categorisation of manufacturing decision domains (DDs) and (iii) a list of manufacturing system configurations.
The regression schema is based on relatively subjective endoscopic and radiological criteria and has not been validated yet; however, it may provide some degree of uniformity that may help to maintain consistency and reduce variability between institutions.
The Otterlace database schema is based on the Ensembl schema.
The designed ensemble classifier schema is based on the notion of combining knowledge-based and statistical machine learning classification methods aiming to benefit from their merits and minimize their drawbacks.
FACT's data schema is based on SysML, providing a unique use case implementation of the benefits of the SysML authoring tool described.
In other words schema is based on aesthetic.
This organization schema is based on a hierarchy and can be updated incrementally as soon as new cases are available.
Moreover, the indices in an access schema are based on labels of neighboring nodes, which are quite different from prior indexing structures.
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