Sentence examples for soft membership from inspiring English sources

The misclassification of the potential weak classifier is calculated based on the soft membership values.

The soft membership is determined with two threshold values which can be learned from training data.

We compute a soft membership, with which each training datum belongs to a positive group or a negative group.

At each round of adaptive boosting, we define a soft membership with which each training datum belongs to a positive group or a negative group.

We assign to those data soft memberships and use the membership values when computing misclassification rate.

Because of the overlaps between classes, it is appropriate to assign soft memberships, i.e., allow an event to belong to each of the K clusters with associated probabilities (or from an alternative perspective, to allow fractional memberships in each of the K clusters).

In [10] the authors propose a mixture of non-homogeneous Poisson processes to discover the latent customer groups and conduct the soft-membership customer segmentation based on the dynamically observed purchase behavior.

After model selection and ranking of bicluster, the i-th bicluster has soft gene memberships given by the absolute values of λ i and soft sample memberships given by the absolute values of z i T. Soft clustering has the advantage that gradual memberships are able to account for ambiguities that occur in gene expression datasets (where hard memberships can be obscured by noise).

That is why the president should bring the victorious troops home now.Benjamin SwiftToney, AlabamaDemocracy in EuropeSIR – Though sombre in mood, your special report on the European Union acknowledged the progress that the integration process has made and the paradoxical dilemma inherent in the "soft power" of prospective membership (March 17th).

The proposed FSLVQ is a batch type of clustering learning network by fusing the batch learning, soft competition and fuzzy membership functions.

More precisely, when we are traversing the node m for the given context c, a soft question represents the membership grade of the left child, and clearly, computes the degree of selecting the right child.