Sentence examples for differing from the training from inspiring English sources

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A speaker identification experiment was performed on a distant-talking speech set, with reverberant environments differing from the training environments.

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Each task demonstrates a new environment which differs from the training environment.

This method can be applied to situations where the target category differs from the training categories through the use of the correspondence constraints.

Instead the model was optimized by removing spectral and concentration residual outliers using an F-ratio probability that samples differed from the training set by a probability of 99%.

fMoreover, the training participation of German subsidiaries, conditional on firm size and industry sector, does not statistically differ from the training participation of US and UK subsidiaries, thereby rejecting hypothesis 2. For reasons of space, these results will not be reported in Section "Method, results and discussion".

It therefore tested whether or not dogs could generalise from the training trials that both rope ends had to be pulled simultaneously to successfully pull the platform in order to solve the novel transfer test in which the external stimuli differed from the training trials.

John McCain has not offered a single substantive prescription for our ailing economy or how his foreign policy would differ from the train wreck of the Bush Administration's.

Practicing the various scenarios which could occur in the future employment is useful, but the situations in real life are generally much tougher than expected and differ from the trained situations.

Their responses on this issue differed from the trained TBAs as they reported on the need for formal post-partum visits not only for the babies, but also for post-partum mothers.

This differed from the trained TBAs, who expressed that they always advise post-partum women seek care at health-care facilities, although they also reported previously that they also provide care when women face retained products in the womb.

The last modification that we made is that once a subsample was labeled and the top most confidently labeled instances were selected to augment the originally labeled dataset, we simply discard the rest of the subsample, thereby differing from the classical co-training approach [ 38] and from the original co-training ensemble approach [ 11].

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