Sentence examples for measure the generalization from inspiring English sources

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.

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.

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.

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

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

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

The held-out mean squared prediction error measures the generalization performance of each of the algorithms.

Thus, we measured the generalization profile of STM and LTM by testing with the graded mixtures of 'contaminating' odors.