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It uses a training set,, where is the characteristic vector in represents the class, in this case 1 for open eyes and 2 for noneyes, and is the number of elements of [28].
SVM classification [28 30] is rooted in statistical learning theory and pattern classifiers; it uses a training set,, where is the characteristic vector in represents the class, in this case 1 for open eyes and 2 for closed eyes, and is the number of elements of.
For instance, RAST uses a training set based on genes of close phylogenetic neighbors [21].
The function tr.rocc uses a training set with a given phenotype to determine the metagene threshold.
This approach uses a training set to learn RBP binding preferences from high-throughput experimental data such as CLIP-seq and RNAcompete.
LMNN is an optimization algorithm that uses a training set of pairs of vector labels (xi; li) and learns a Mahalanobis distance that maximizes the kNN classification over a training set.
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We emphasize that RNAsnp does not include any machine learning or other trained component, and hence does not use a training set.
Elastic net regularized logistic regression models were trained using a training set containing 1679 individuals.
We here use a training set of 30,000 people and a test set of 15,000 people.
The CoMFA study was carried out using a training set of 16 compounds.
An algorithm iteratively constructs new features and tests them using a training set.
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