Sentence examples for inexact data from inspiring English sources

For the inexact data, we associate a positive real number that measures the noise in the coefficients.

At high speeds, computer-vision algorithms can't make much of their surroundings, forcing drones to rely on inexact data from the inertial measurement unit (IMU) sensor, which measures things like the drone's acceleration and rate of rotation.

We address the algebraic problem of analyzing the local topology of each singularity of a plane complex algebraic curve defined by a squarefree polynomial with both exact (i.e. integers or rationals) and inexact data (i.e. numerical values).

Taking into account possibly inexact data, we study iterative schemes for approximating fixed points and attractors of contractive and nonexpansive set-valued mappings, respectively.

Taking into account possibly inexact data, we study both existence and approximation of fixed points for certain set-valued mappings of contractive type.

for the inexact data (g_{delta})): begin{aligned}& f_{alpha}=R alpha g= bigl alpha I +K^K bigr)^{-1}K^g, end{aligned} (48) begin{aligned}& f_{alpha}^{delta}=R alpha g_{delta}= bigl( alpha I +K^K bigr)^{-1}K^g_{delta}.

Linear problems with inexact initial data are examined.

While predicting future food prices is an inexact science, data released by the Labor Department last week suggested the forecasters might be right.

The use of fuzzy logic relationships is one approach for handling such kind of inexact vague data.

However, since such a categorization is inexact, the data in this study was used to dictate at which threshold results would no longer be considered due to chance and most likely occur as a result of linkage.

By introducing a similarity measurement of fuzzy sets to investigate the inexact class information of unlabeled data, an adjacency graph is modeled based on both neighborhood structure and category information, which is more relevant to classification compared with the unsupervised graph constructed in traditional graph-based semi-supervised dimensionality reduction technique.