Sentence examples for predict information from inspiring English sources
The phrase "predict information" is not commonly used in written English and may sound awkward
It could be used in contexts where one is discussing the act of forecasting or estimating data or outcomes. Example: "Using advanced algorithms, we can predict information about future market trends."
Modeling studies were undertaken of the effectiveness of information storage and retrieval; modes of human-machine interaction; the effect of form on the content and comprehension of information; the processes of information generation, transmission, and transformation; and the establishment of general principles that explain and predict information phenomena.
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].
The model was used to simulate product movement through the sterilizer and to predict information useful for process optimization and facility design.
In many data stream mining applications where data exhibit a time series nature, the goal is to predict information about future instances in the data stream given some knowledge about previous ones.
Moreover, it was demonstrated by means of a PLS that a relation between the particle size and the MRT measurements can be quantitatively defined, highlighting a potential ability of the MRT sensor to predict information about the final granule size.
From the experimental data three selected pollutant parameters were tested to fit into different kinetic models for the adsorption rate, the removal mechanism and process and predict information about the interaction between these two naval adsorbents (filter medium) and those selected three pollutants (NO3 N, PO4 P and [Cr]T) in the tannery wastewater (Martins et al. 2013).
A Bayesian satisficing model (BSM) is proposed and implemented in the ACT-R architecture to predict information-seeking behavior.
The parameters of the PID controller are tuned using RK model of the system through prediction error-square minimization where the predicted information of tracking error provides an enhanced tuning of the parameters.
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}. .
Then, we formulate an integrated guidance model, which is based on Kalman filter short-term predicting information.
