Sentence examples for predicting information from inspiring English sources

Then, we formulate an integrated guidance model, which is based on Kalman filter short-term predicting information.

The proposed learning system provides the Rubicon ecology with a set of generalpurpose learning services which can be used to learn generic computational tasks that involve predicting information of interest based on dynamic sensorial input streams.

This type of approach has been proposed by Malandrino et al. that show that, by predicting information cascades, mobile users' requests can be treated in advance which can lead to a reduction of up to 50% of the cellular data traffic during periods of high data traffic loads [105].

By using cloud computing and big-data analysis, we analyzed environmental stress factors for Pleurotus ostreatus by assessing, evaluating, and predicting information of the growth environment.

In these analyses, each vascular signature was individually tested against the metastasis predicting information contained within intrinsic subtype status; note that only the vascular signature information is shown in Table  1.

Eigenvector centrality (binary) was found to be the most influential metric in the model with the lowest mean squared error in predicting information processing speed (P = 0.01, R = 0.64), with its regression coefficient lying >2 SD above that of the next highest metric in the optimized selection (Fig. 5).

The predicted information and the task graph are the inputs to our static allocation algorithm.

Compute the predicted information matrix and predicted information vector mathbf{Y}_{i,k|k-1} = mathbf{P}^{-1}_{i,k|k-1}, widehat{mathbf{y}}_{i,k|k-1} = mathbf{Y}_{i,k|k-1}widehat{mathbf{x}}_{i,k|k-1}.  .

where (widehat {mathbf {y}}_{o,k|k-1}) and Y o,k|k−1 are the predicted information vector and matrix at the FC, respectively.

Recently, some results have been obtained by using mathematical models to predict information diffusion over a time period in online social networks; see e.g. [16 20].

In filtration, it is utilized to measure whether a known feature appears in a text of a certain relevant topic and how much predicted information of the topic.