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This is a good property for classification.
In this sense, this kind of linear supervised distance in SLLE is not a good property for classification since it will go to a great extent to decrease the discriminating power of the low-dimensional embedded data representations produced with SLLE.
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Therefore, we use different groups of topological network measures as input for supervised machine learning techniques in order to comprehensively capture topological network properties for classification.
The information on properties necessary for classification and labelling of all ingredients were compiled from data accessible to the general public.
A combined use of physical scattering characteristics and statistical properties for terrain classification is desirable.
Table 4 presents 2 cutoff values of the predicted probability for suspected low IQ and test properties for the classification of children.
By applying l1 l2 FS on three AD datasets, we defined gene signatures with good discriminative properties for the classification of diseased and healthy subjects.
This means that, at smaller distance thresholds, both RGFD and GCD-73 identify more true network pairs than NetDis, which is an important property for the early classification task.
In many computer vision and image analysis applications, the texture of an object is an important property that can be utilized for classification or segmentation procedures.
Interestingly, Torkamani's and our classifiers share several properties: amino acid types; kinase group membership, which the authors state to be critical for classification; biochemical properties such as the Kyte-Doolittle hydrophobicity index; and evolutionary conservation.
First, an outlier-probability based on similarity metric is derived by solving the maximum likelihood in kernel space, which is corresponding with classification property for considering the statistical information on manifold.
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