Sentence examples for get a classification from inspiring English sources

The most important insight of cladistics is that if you take all character states shared by a number of organisms into account (i.e. if you look at overall similarity), you will not necessarily get a classification that reflects actual evolutionary relationships.

In her account, she contrasts the neurologist's (and society's) assumption that a diagnosis would be devastating with her own desire, as someone entirely integrated into the wheelchair basketball community, to get a classification and qualify to try out for the Canadian national team: "The doctor sits me down, and looks at me solemnly.

Meaning that across the EU, over the longer term, the financial incentive for employers to deny workers entitlement to holiday pay will be reduced — given the risk if they get a classification wrong could mean having to pay out for an entire, multi-years employment term.

The work described in this paper supports a broader goal related to the identification of representative instances for each class in the absence of previous descriptions of some or all the classes, in order to get a classification model that is able to fully recognize the target concept, including all the classes to learn no matter how frequent or rare they are.

Each case left out in the construction of the tree is run through that tree to get a classification.

The general conclusion for most of these methods using only a single or few structural properties, is that they are able to get a classification performance equal to or often greater than methods using a large number of sequence signals in complex statistical frameworks, despite the relative simplicity of their approaches.

Using the AM-FM estimates, the authors got a classification success up to 71.5% when the three AM-FM estimates and k = 5 were used.

In terms of classification accuracy, the semi-supervised classification algorithms TCA, LapRLS/L, SDA get a higher classification accuracy than the supervised classification algorithm MFA.

Hence, in order to get a better classification map, it is necessary to extract an informative representation of the original spectral signature.

In order to get a good classification effect, kernel functions were usually used to map the training samples to a high-dimensional feature space.

Our tests on Flickr and YouTube showed that only one or two path strings suffice to get a 100% classification accuracy.