Sentence examples for measuring the generalization from inspiring English sources

This allowed measuring the generalization capability of the systems in an unseen domain.

This paper compares various techniques of measuring the generalization ability of a neural network used for model-updating purposes.

The average accuracy of the N number of SVM models is used for measuring the generalization capability of the SVM method.

This will measure the generalization capability of the systems when searching for known terms within unknown speech data.

In addition, ALBAYZIN evaluations make use of other language and define disjoint train/dev and test query lists to measure the generalization capability of the systems.

In addition, our evaluation makes use of other language, employs a larger list of terms, and defines disjoint training/development and test term lists to measure the generalization capability of the systems.

Although the ALBAYZIN QbE STD evaluation could be considered to be similar in terms of speech nature to the NTCIR QbE STD evaluations, i.e., the speech was recorded in real workshops, the ALBAYZIN evaluations make use of other languages and define disjointed development and test query lists to measure the generalization capability of the systems.

For example, searching test terms in training/development speech data could be enhanced by unsupervised adaptation, whereas searching training/development terms in test speech data will measure the generalization capability of the systems on unseen data with the same term list for which good classifiers could have been developed.

Although our evaluation could be similar in terms of speech nature to these NTCIR STD evaluations (speech recorded in real workshops), our evaluation makes use of other language, employs a larger list of terms along with two different databases, and defines disjoint development and test term lists to measure the generalization capability of the systems.

For example, searching test queries in train/dev speech data could be enhanced by unsupervised adaptation, whereas searching train/dev queries in test speech data can measure the generalization capability of the systems on unseen data with the same query list for which good classifiers could have been developed.

So, this measure of predictive accuracy measures the generalization ability of the classification model.