Sentence examples for maximum margin and from inspiring English sources

The Eq. (3) below represents Lagrange multiplier for estimating maximum margin and it is used in a general SVM-based classification model.

Liu et al. proposed a neighborhood preserving ordinal regression method that tries to extract multiple projection directions from the original dataset according to maximum margin and manifold preserving criteria [25].

To avoid a high value of ξ i, some kind of penalty term C was introduced into the original optimization Equation (3), which can be modified as: Minimizefrac{1}{2}{leftVert wrightVert}^2+C{displaystyle sum_{i=1}^n{xi}_i} (8 where C > 0 is the penalty factor to control the trade-off between the maximum margin and the minimum error.

C denotes the misclassification penalty parameter which controls the trade-off between the maximum margin and the minimum error and must be set to a given value [ 11].

The objective of SVM is to determine the optimal weight w0 and optimal bias b0 such that the corresponding hyper-plane separates S+ and S– with a maximum margin and gives the best prediction performance.

In our case, there are two parameters: the C from the maximum margin classifier and the γ from the radial basis function kernel.

Table 8 compares various Maximum-Margin and Maximum Likelihood training methods for the CRF classifier, on MSRC-9 for posterior probability features over a 1000 center SIFT codebook and a 100 center Color codebook.

Integrating the attractive characters of tensor representation, local-based method, and maximum margin classifier, TLMMC shows impressive results in both theoretical analysis and empirical validation.

Target values of the fault current and maximum margin value should be provided.

Zhao et al. [53] proposed an improved iterative trace ratio (iITR) algorithm to solve the trace ratio linear discriminant analysis (TR-LDA) problem for dementia diagnosis and achieved better performance than the principal component analysis (PCA), locality preserving projections (LPP), and maximum margin criterion (MMC).

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