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After the pre-processing step described previously, an edge detection step is performed by means of a multi-layer perceptron (MLP) [22] trained with synthetic samples of edges and non-edges, using the supervised learning backpropagation algorithm, with randomly initialized weights and 10 trials for each trained network.
For each trained classifier, we generated segmentations for the 10 − N s test subjects not used in training.
For each trained SVM we evaluated the performance using different values for the C parameter in the range of 0.1 100 000 (see the libsvm package).
In the second stage, for each trained ELM denoted as S k = {(a j k, b j k ) j =1,…, J, W k } k =1,…, K, the estimated category index of the testing protein sequence sample xtest is obtained.
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For each train there are small picturesNsymbols for "type of service".
Finland pays teachers modestly but manages them well; ten graduates apply for each training place.
Farther east in the neighborhood, riders on the C line wait 9 to 10 minutes for each train, according to the Straphangers Campaign, a rider advocacy group.
Each group of eight to 12 reps is called a set, and two or three sets of a given exercise are recommended for each training session.
Training loads and injuries were recorded for each training session.
Raters differed for each learner and for each training session.
First, we determine the epitome for each training sequence.
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