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In SVM classification, a training example is represented using a vector of features and a label.
This enables the direct application of ensemble training algorithms by simply using each segment as a training example.
In the training phase of the inquiry we described the experiment using a training example and a demonstration of human samba.
Moreover, forgetting only occurs if a training example is not reinforced by similar ones.
The first ring contains eight nodes which are trained using the SOM training algorithm: In each step, a training example x is selected and the prototype vectors { u k ) k =1,…,7} are searched for the best matching unit (BMU) u, with and the learning rule is applied to the nodes.
Then we randomly pick up a set of concepts from O 1, and find the corresponding equivalent concepts by a manual matching with O 2. Each of such manually matched pairs will be processed by OAANN, and the similarity values in name, properties, and ancestors for these two concepts are calculated and used as a training example to the network in Figure 5.
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A one-hot encoding representation is used, such that specifying a tissue for a particular training example can take the form [0 1 0 0 0] to denote the second tissue out of five possible types.
During the training process, each sequence window was considered as an individual training example and given a score, i.e. the ANN or SVM output.
In principle, every video frame is a possible training example".
In the incremental mode, BP algorithm does not always converge to a local minimum because the gradient used for the weights adjustment is computed for a single training example.
Select a random training example for this task.
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Justyna Jupowicz-Kozak
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