Sentence examples for and extracting knowledge from from inspiring English sources

A careful analysis can result in hundreds of variables, and extracting knowledge from these measurements can be difficult.

The knowledge reuse and fusion/transformation (KRAFT) project has defined a generic agent-based architecture to support knowledge fusion — the process of locating and extracting knowledge from multiple, heterogeneous on-line sources, and transforming it so that the union of the knowledge can be applied in problem-solving.

Increasing the level of automation and adding intelligence to existing systems to make them smarter require a large amount of work on extracting knowledge from human intelligence, and thus, a smart campus might be a prolonged stage in between.

Knowledge discovery has been demonstrated as an effective approach to extracting knowledge from existing data sources for soil classification and mapping.

This can help in on-line crowd surveillance for different applications (pharmacovigilance and filtering health contents in blogs among others) as well as extracting knowledge from unstructured text sources.

Thus, the extraction of science from the grip of academia appears as urgent a task now as extracting knowledge from the religious establishment was in the 15th and 16th centuries.

To do so, the concepts of ensemble computing with negative correlation learning (NCL) and pruning of neurons are used in tandem to cope with difficulties associated with extracting knowledge from collected database.

Three knowledge discovery methods are discussed next for extracting knowledge from data sources.

Clustering techniques, which acquire certain characteristics of input data, are efficient methods of extracting knowledge from numerical data sets.

Once again, the emphasis was on extracting knowledge from the text rather than reasoning with the knowledge once it was extracted.

While extracting knowledge from high-dimensional visual representations based on the notions of sparsity and regularization has been successful for several computer vision problems, such techniques have not been fully exploited in the context of the re-identification problem.