Sentence examples for model trained data from inspiring English sources

where y m and y ^ m denote m th actual and model trained data samples, respectively.

In order to model training data precisely, each image is represented as a bag of visual words.

Acoustic model training data of our LVCSR composes of 773 h of speech from LOTUS [12], LOTUS-BN [25], LOTUS-SOC [14], VoiceTra4U-M, and other unpublished sources.

Acoustic model training data of our speech recognizer composes of 224 hours of speech from LOTUS [15], LOTUS-BN [11], and VoiceTra4U-M.

The training dataset is split into a set for building the model (training data) and a set (held out) for validating the model using these performance measures.

The Mandarin and the English language model were trained with the Chinese and English Gigaword corpora, respectively, and interpolated with transcriptions of the acoustic model training data.

Data quality then was rated on a scale of 1 4, and only the top 2 classes (annotated as 3- and 4-star classes) were used as the model training data as explained in Mansouri et al. [54].

The model training data consisted of random pseudo-presence points that were generated within the modern and historical geographical distributions of the Asian elephant, cheetah, lion and oryx.

This was combined with gene expression measurements to form the model training data set.

Table  3 demonstrates the results of stepwise selection in logistic regression model (training data), and only length of stay and type of antibiotics were retained in the model.

This in turn allows for predictions of the effect for mutations to any amino acid, including to such that are not present in the virus variants in the model training data-set.