Sentence examples for representation evaluation from inspiring English sources

The three research questions were categorized according to Chapelle et al.'s (2008) and Xi (2010) argument-based validity framework, which consists of Domain Definition (or Representation), Evaluation, Generalization, Explanation, Extrapolation, and Utilization inferences, three of which were relevant to the current study.

Specifically, as we have provided backing for the Generalization, Extrapolation, and Utilization inferences, we should in the future examine other areas related to the Domain representation, Evaluation, Explanation, and Extrapolation inferences, as well as testing the consequences in the Utilization inference (see Xi, 2010, for specific questions to be examined).

Representations, evaluation models, and post-processing are still three main research directions to be explored as they can directly influence the applicability of these techniques in practice.

In this paper, we discussed the key issues related to automated design of scheduling heuristics with GP including meta-algorithms of scheduling heuristics, selection of component(s) to be evolved, representations, evaluation models, fitness functions, search mechanism and post-processing.

There are several methods available for representation and evaluation of particle size analysis data.

There are at least three important issues in developing EAs for TSDOPs, i.e., design representation, fitness evaluation and evolution paradigm.

In general, engineering design is a loosely structured, open-ended activity that includes problem definition, representation, performance evaluation, and decision making.

The second method exploits the rank deficiency of the ACE translation operators with respect to time and develops a recursive numerical compression scheme for the efficient representation and evaluation of temporal convolutions.

The three examples described above have demonstrated that the platform architecture enables flexible provision of domain-specific item in CAT with respect to data representation, answer evaluation and item presentation.

By showing examples of different domain-specific item types, we could demonstrate the flexibility of our approach in terms of data representation, answer evaluation, item presentation and functional integration of resources provided by external platforms.

On the other hand, Stoyanov et al. (2011) evaluate the accuracy of a Kinect in comparison with a laser scanner using the Three-Dimensional Normal Distributions Transform (3DNDT), which is a spatial representation accuracy evaluation technique, and conclude that the Kinect sensor performs well within 3.5-m distances.