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A boosting algorithm can be used to choose the appropriate features for training.
Therefore, we can try various combinations of phone class features for training and recognition stages.
The authors used four audio features for training GMMs, each one associated with one node of the classification tree.
This were used as the input features for training the decision tree classification algorithm, J48, in Weka.
In [91], the classifying features for training the DT is also acquired by DWT of transient signals for ID in a CIGRE distribution system.
This paper proposes a methodology for online voltage stability monitoring using artificial neural network (ANN) and a regression-based method of selecting features for training the ANN.
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So considering the numerous samples used in this study, 5-fold cross-validation is used to evaluate the importance of the features for train dataset.
The last feature is the class label which will be used as the target feature for training classifiers.
One part was used to generate the feature for training, and rest of 4 parts were used to test the system.
In our experiments, removing POS tags led to the largest negative impact on the results, indicating the importance of this feature for training models to recognize chemical entities.
For machine-learning methods, using the pairs curated in pathway models, an SVM trained on the pairs (Pathway) performed as well as RankSVM, and the pairs slightly improved performance when used for creating an additional feature for training with the data specifically annotated for ranking (SVM + Pathway).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com