Sentence examples for maximum margin separator from inspiring English sources

In a few words, the optimisation problem solved by the algorithm consists of finding the maximum margin separator hyperplane in the input space.

In fact, the P = 0.5 threshold is similar to the maximum margin separator which is often the optimal separator when using SVMs.

SVMs use quadratic programming, a numerical optimization technique, to calculate a maximum-margin separator, the hyperplane that maximally separates data points belonging to different classes in the multidimensional feature space, while tolerating only a prespecified error rate.

Their power comes from the combination of the kernel trick and maximum margin hyperplane separation.

When more dimensions are involved, SVM searches for an optimal separating hyperplane called the maximum-margin separating hyperplane.

The SVM identifies a maximum-margin separating hyperplane to distinguish between vectors representing instances of opposite sign.

Then, a maximum margin hyper-plane: is constructed to separate the '+1'cancercer') and '-1'controlrol') types of meta-samples.

The SVM classifier separates the examples with the maximum margin γ.

Unlike the traditional SVM that builds a maximum margin hyperplane in the original high-dimensional space where n ~ 10 – 10, MICA-SVM separates biological samples by constructing the maximum margin hyperplane in the spanned subspace where using the meta-samples.

The poll has a maximum margin of sampling error of plus or minus three points.

maximum margin criterion.