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"This is our main dataset for training our own algorithms.
The conversations thus obtained were labeled to create a 'labeled dataset' for training and testing purposes.
Moreover, classifiers usually have to rely on a large-scale dataset for training.
The benefit of using Naïve Bayes on text classification is that it needs small dataset for training.
For small training dataset, it is beneficial because we could have sufficient training dataset for training an NN.
Correspondingly, the respective subjective dataset for training and evaluating the planning model and the monitoring model should be built differently.
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Datasets for training and testing.
We used a few different speech datasets for training and testing.
In the image retrieval process, using different datasets for training the codebook will produce different results.
The lack of availability of datasets for training and validation is often a major problem.
The main challenge of CNN-based stereo matching algorithms is that they require large datasets for training.
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