Sentence examples for based on binary trees from inspiring English sources

Fig. 3 Multiplicative inversion based on binary trees.

We improve the finite field multiplications via using composite field expression and design a finite field inversion based on binary trees described in [41].

Specifically, we propose a high-speed hardware architecture for multivariate scheme through improving finite field multiplications based on composite field expression, finite field inversions based on binary trees and solving LSEs based on the algorithm of Gauss-Jordan elimination.

A multi-classifier of SVMs based on binary tree architecture (SVMs-BAT) is trained.

To achieve this purpose, a new algorithm based on binary tree technique and some reduction operations is presented.

Li et al. [16] also proposed an Interval Cloak algorithm based on binary tree 4. Given that the literature value of K is set in the system and does not meet the personalized needs of location privacy, Li and Jung [17] proposed that the k- anonymous user model could be customized to allow the user to specify the degree of anonymity, thereby proposing the Clique Cloak algorithm.

ADTree is a classification method based on binary decision trees, using a voting system to combine the output of individual tree models.

A recent publication [ 123] presents a novel combinatorial approach based on binary partition tree (BPT) to model the mechanism of clonal expansion in tumor and estimate the subpopulations of tumor using the variant allele frequencies of somatic mutations.

Using a presence/absence matrix of genes conferring resistance to antibiotics and disinfectant agents, we constructed a similarity tree based on binary distances under neighbor-joining algorithm for tree construction; topological support was assessed based on 100 bootstrap replicates.

Fault tree analysis based on binary decision diagram (BDD) is one of the most commonly used techniques for FTMPS reliability analysis.

Tests included in the resulting tree were based on binary decisions, i.e. gain versus no gain and loss versus no loss.