Sentence examples for based on kernel k-nearest from inspiring English sources

In this paper, an algorithm based on Kernel k-nearest neighbors (Kernel-KNN) matching of regional traffic attractors is presented to estimate road traffic states.

In this article, a learning-based target decomposition method based on Kernel K-singular vector decomposition (Kernel KSVD) algorithm is proposed for polarimetric synthetic aperture radar (PolSAR) image classification.

Methods based on similarity clustering, k-nearest neighbors, phylogenetic clustering [ 14], gene fusion analysis [ 15] look for closely interacting sequences near the query sequence.

Models based on Bayes rule, k-nearest neighbour algorithm, logistic regression, scoring systems and artificial neural networks are investigated.

In this research, we computed spatial lag based on the k-nearest neighbor method as the distance weight.

The supervised classifier is GOCat (19), a locally developed classifier which is based on the k-nearest neighbours algorithm (20).

In 2001, Troyanskaya et al. published the first two missing value imputation algorithms based on the k-nearest neighbors (kNNimpute) and the singular value decomposition (SVDimpute) [ 12].

Here we introduce LinkImpute, a software package based on a k-nearest neighbor genotype imputation method, LD-kNNi, which is designed for unordered markers.

The method is based on a k-Nearest Neighbor estimate of the Jensen Shannon divergence between the multivariate predictive densities of competing models.

In addition, NearestMP (missing value estimation based on nearest neighborhood regression) and KernelMP (missing value estimation based on Kernel Function) are proposed for evaluating STORE DHM flexibility.

Nearest local maximum searching algorithm (NLMSA), an unsupervised clustering algorithm based on kernel density estimation, is proposed.