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The dataset used for training are shown in Table 1.
Table 4 Specification of the released traffic sign dataset used for training SVM classifiers.
The histData set represents 90% of the whole dataset used for training and testing.
Generally 70% of the available dataset used for training and rest is equally divided for testing and validation purpose (15% each).
Most importantly, we present a simple yet effective technique for the identification of users from location information that are not included in the original dataset used for training, thus raising important privacy concerns for the management of location datasets.
X_{normalized} = (X_{i} - X_{average} )/s (1)In Eq. (1), X normalized represents normalized value of X i which is the descriptor X of object i. X average represents an average of all descriptor X values in the dataset used for training CPANN, and s is standard deviation of these values.
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We first describe datasets used for training and testing our method.
The network has been developed with 80%% datasets used for training, 15 % for validation and 5%% for testing.
Table 1 Statistics of the datasets used for training: number of words in the dictionary and amount of speakers and data Dataset Dict.
However, in this research, the datasets used for training and testing are obtained from the same group of volunteers using several modes of transport, so we do not verify this influence in detail.
The quality of predictions generated by any computational method depends squarely on the scoring algorithm and the datasets used for training the method.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com