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The state of a single ambulance (i.e. our resources) in t is given by an attribute vector a t = a 1, a 2 T, where a1 and a2 specify spatial and temporal information accordingly.
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We then classify an attribute vector x by computing the linear combinations of h(x → ).
Applying the above transformation methods, an attribute vector with zero skewness is obtained.
The PCC is a measure of the linear association between an attribute vector and the final confidence scores.
The set of ambulances currently busy is characterized by the attribute vectors a ∈ A t b, whereas a ∈ A t i (a ∈ A t i +, where A t i + ⊆ A t i ) represents the attribute vectors corresponding to vehicles currently being (just becoming) idle.
If Eq. (1) is represented by Bayesian model, the attribute vector { C, X1,⋯, X i −1} is considered the parent attribute of X i, i.e., P a i. ∙ NB (0-dependence classifier).
For each cluster, we first normalize the attribute vector by x i (k)= (w i (k)- μ k))/(σ (k))2, where μ k)and (σ (k))2 are the mean and variance vectors for cluster k, respectively.
Information on each protein node is represented as an attribute feature vector.
Table 3 Attributes represented by vectors Attributes Vector length Word-type pessoa itself 50 All lowercase 5 Ending in a 2 Ending in oa 2 Ending in soa 2 Ending in ssoa 2 Ending in essoa 2 Beginning with p 2 Beginning with pe 2 Beginning with pes 2 Beginning with pess 2 Beginning with pesso 2 Total 75.
attribute vector of the alternative.
The histogram-based attribute vector is rotationally invariant, and importantly it also captures spatial information by integrating a number of local intensity histograms from multi-resolution images of original intensity image.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com