Sentence examples for minimizing variance of from inspiring English sources

Our goal is to estimate a location of a node minimizing variance of links between all one-hop neighbors.

Based on the properties of implicit distance estimations, we set a goal to find a location of a node minimizing variance of links between all one-hop neighbors to improve localization accuracy.

The goal of the MDS-MAP is to produce a topology map that minimizes variance of links of all pairs of nodes in the network; whereas, the proposed algorithm minimizes variance of links of all pairs of local neighbors.

Our algorithm also refines location estimates iteratively by mass spring method and Kalman filtering to minimize variance of links of all pairs of one-hop neighbors.

We proposed a novel range-free algorithm using the mass spring method and Kalman filtering to find the location of a node which minimizes variance of links to all its neighbors.

First, the optimal policy is to seek to minimize variance of domestic price inflation, real wage inflation, and the output gap if both domestic price and real wage are sticky.

We use Ward's method to generate a hierarchical clustering of stories, which proceeds by minimizing variance between clusters of books [26].

Jenk's optimization method assigns values to a given number of classes with the objective of minimizing variances within classes while maximizing between class means (Table 4).

The second phase is a recursive algorithm with combining mass spring method and Kalman filtering to update the graph where each node minimizes variance of links of all pairs of one-hop neighbors.

With the simulated schemes, the results suggest that minimizing the variance of contributions per offspring is more effective than minimizing the sum of covariances of ancestral contributions over all of the offspring.

The traditional single objective optimization in sampling is usually achieved either by minimizing the variance of the sample estimates assuming constraints on the cost of all the measurements in the sample or by minimizing the cost assuming constraints on the variance.