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This algorithm is a set of classification and regression trees developed by Breiman (2001).
Given this description, the set of classification and labelling entities can be enumerated, and the form can be generated.
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The idea is to establish a framework by decomposing the task into functionality objectives and to allow the end-user to experiment with a set of classification methods and select the best methods for specific applications.
Additionally, a clear set of classification rules and a comprehensive data dictionary (or ontology) are necessary.
Using a decision tree method, we derived a set of classification rules and applied these rules to the clinical data in Ontario, Canada.
Using a comprehensive set of classification rules and genomes, we show for the first time that the observable increase in morphological complexity in Plantae is positively correlated with the expansion of their TAP complement and especially TFs.
Here, we present the most comprehensive set of classification rules for TAPs and its application for genome-wide analyses of plants and algae.
In study part II, a core set of classification items (questionnaire, clinical and laboratory items, as agreed) was tested in three groups of patients and controls that is, group A (new patients with the CV), group B (controls with serum cryoglobulins but lacking CV) and group C (controls without serum cryoglobulins but with features which can be observed in CV).
The questionnaire was then validated and the set of classification criteria for CV was defined, also including easily accessible clinical and laboratory items.
This set of classifiers represents a wide variety of approaches and scopes: genome-wide and kinase-specific classifiers, different classification approaches (rule-based, neural networks, linear SVMs and radial basis SVMs) and a broad set of classification features.
For design, cross-section slenderness parameters have been proposed and a set of classification limits in harmony with those given in Eurocode 3 for circular hollow sections (CHS) has been derived.
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