Sentence examples for predictions of information from inspiring English sources

Therefore, the present study aims to develop a faceted classification of task, which can incorporate work tasks and information search tasks into the same classification scheme and characterize tasks in such a way as to help people make predictions of information behavior.

The objective of this study was to explore machine learning and web usage mining methods to produce classification models for the prediction of information resources that might be relevant in a particular infobutton context.

In line with the predictions of social information use derived from intraspecific contexts, interspecific information use can result in copying and convergence of behavior [ 16],[ 17], but also active avoidance of the behavior of individuals that seem to have poor performance [ 6],[ 16],[ 18],[ 19] or to avoid confrontation with stronger competitors.

Taking advantage of the variable information available to long-tailed tit parents through the nestling period we experimentally tested the predictions of the information model [33].

We experimentally test predictions of the information model using a population of long-tailed tits.

In this study we use a population of long-tailed tits Aegithalos caudatus to experimentally test predictions of the information model of biparental care.

Appropriate use of these methods is very useful for resolve of uncertainties and results of predictions, when obtain of information is difficult and sometimes impossible.

Procedures to estimate the uncertainty associated with the predictions and quality of information for the new soil-landforms map of the MDB are described.

These theories all state that attention operates as a filter that selects part of the incoming auditory information, but they differ in their predictions of which unattended information is processed.

The prediction of risk, information of treatment strategies and preventive measures is well established in the genetic counseling method.

Some features of the models developed in this study make them promising for genome-wide prediction, the use of information contained in the probability distribution of genotypes is perhaps the most appealing.