The two techniques are very closely related, and classification (for instance, by thresholding) is a useful first step in segmentation, though some algorithms such as the watershed transform [31] can function on non-binarised data.
The Müller classification, for instance, does not generally consider the level of displacement of the fracture fragments.
The presence of missed events will likely diminish accuracy of classification (for instance, because individuals who actually experienced an event but were admitted elsewhere are mislabeled), although we cannot exclude the possibility that some apparent predictors of lower risk actually predict failure to follow-up within these health systems.
Separately from the risk rating, the reports are also broken down into classifications; for instance "concern for minor raised" and "self-harm threat" are discrete incident categories.
In Sweden it is mandatory to use Swedish versions of statistical medical classifications, for instance a Swedish version of the ICD-10, in reports to the National Board of Health and Welfare.
Ligands can be included or excluded based on their properties, interactions and so forth, as can the binding sites, to filter based on UniProt accession or CATH/SCOP structural classifications for instance.
"They can't physically have every classification, but for instance in my particular classification they proposing a T51 100m where there is only one person in the past four-plus years has posted a time".
Light classification algorithm, for instance, NB, has low time consumption but the precision is not always ideal.
Constituents of a distributed system such as software agents, cars equipped with smart sensors, or intelligent robots may learn from each other by exchanging knowledge in form of classification rules, for instance.
In the present study, we investigate six of them, which have already been proposed by various authors in view of site classification (see, for instance, Castellaro et al. 2008; Cadet et al. 2012; Pitilakis et al. 2012, 2013), and provide information on the stiffness and/or thickness of soil columns.
There are many different classification algorithms, for instance, support vector machines, neural networks, naive Bayes, and the decision trees.
