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Network-based methods usually have some parameters that need to be trained using available data sets.
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The neural network was trained using available FEM simulation data.
The significant increase of feature vector dimensionality however introduce noise and thus it does not allow the classification models to be trained using a limited number of samples usually available in clinical studies.
The classifier is trained using publicly available datasets of tens of thousands of Twitter users that include both humans and bots of varying sophistication.
The experiment was performed as follows: firstly, a set of HMMs, composed of one model per phoneme, was trained using the available phonetic labels.
In these methods, at the first stage, all triphones that occur in a speech corpus are trained using the available data.
Note that these 2 classifiers are only used to add instances to the labeled data and the final classifier is trained using all available features, both review centric and reviewer centric.
The prognostic model for relapse was trained using 118 patients with available endpoint status.
The SVM was trained using svmLight [26].
The parameter-based methods, such as PageRank with Priors (PRP [ 28]), Random Walk (RW [ 27]) and PRIoritizatioN and Complex Elucidation (PRINCE [ 7]), usually require additional auxiliary parameters that need to be trained by using available data sets.
Physicians practiced the basic strategies for the recognition and prevention of adverse drug events and were trained to use available public domain drug information systems in the Internet.
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