Sentence examples for data by replacing from inspiring English sources
The aim of this study was to modify the Dexter SWRC model to fit the experimental CCC data by replacing the matric suction and water content in the Dexter model with the normal stress and void ratio, respectively, as well as using the CCC parameters and characteristics (pre-compression stress, compression, and swelling indices) as predictors to estimate the SWRC.
We propose a screen column-shift method for embedding data by replacing different halftone patterns in each embeddable cell.
One solution is to increase the size of the pipe that carries the data, by replacing the copper cables currently in place with fiber-optic cables.
While one option has been to increase the size of the pipe that carries the data, by replacing the copper cables currently in place with fiber-optic cables, many find it prohibitively expensive.
The core concept behind our approach is that the driver is able to intercept all calls to the database management system and simulate the presence of poor quality data, by replacing the original data coming from the database with poor quality data.
It can be applied to any other data by replacing fattyacid in the third line by the name of the object containing the data in the two-column way described above, and by replacing the variable names PE and FA by the names of the variables used in the dataset wherever PE and FA appear in the code.
From the language modelling perspective (a), we address the issue of data sparseness by replacing standard n-gram models for Factored Language Models (or FLMs, cf. [8]).
This was examined on the example data set by replacing each step of the greedy algorithm with a two-dimensional optimization over spike time and weight using the Nelder Mead method, initialized using a grid search [14].
Fig. 6 shows data obtained by replacing extracellular Cl− with I−.
In this sense, given a set of individuals' xor-genotypes we determine the individuals that have the most informative regular genotypes and pre-process the data set by replacing with the regular genotypes for those individuals.
K_an K_an is an algorithm that handles incomplete data in the data preprocessing phase by replacing incomplete data with the mean value at each dimension and then uses k-means [17] on the resulting data set.
