Sentence examples for representation and processing from inspiring English sources

Exact(42)

In SNNs, time is an important feature for information representation and processing.

After a classification of factors that influence tolerance has been made, some key attributes for collecting knowledge cases are studied through fuzzy representation and processing.

Spiking neural networks (SNNs) are the third generation of artificial neural networks that consider time as an important feature for information representation and processing.

In the present report we discuss Arden Syntax as a modern medical knowledge representation and processing language, and show that this language is not only well suited to define clinical alerts, reminders, and recommendations, but can also be used to implement and process computerized medical practice guidelines.

Computational and Algorithmic Representation and Processing of Eye-movements.

In Section 2, the mathematical concepts for TF representation and processing of signals are introduced.

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In biology, the advantages of the Semantic Web are obvious: unique names for biological entities and consistent standards for knowledge representation, retrieval, and processing.

This paper describes Geometric Knowledge Management, explains its main topics and research challenges, and introduces several methods and techniques for geometric knowledge representation, encapsulation, organization, communication, and processing.

It has been studied for about three decades and has surpassed conventional approaches in robotics applications, mainly the ones where real-time constraints make it necessary to utilize resource-economic image representations and processing methodologies.

Importantly, the MMN can be elicited even in the absence of active attention to auditory stimuli and can therefore be used for investigating the nature of lexical representations and processing in the brain without the need to employ tasks such as lexical or semantic decision (for a review, see Pulvermüller & Shtyrov, 2006; Shtyrov & Pulvermüller, 2007b).

This comparison allowed identification of the network involved in generating and processing these representations.

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