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Training neural networks typically involves supervised learning, where each training example contains the values of both the input data and the desired output.
training example: .
In principle, every video frame is a possible training example".
In SVM classification, a training example is represented using a vector of features and a label.
(2) The learning rate (tilde{alpha}>0) determines the magnitude of the correction applied for each training example.
A probability is computed for each training example, and the threshold is computed according to these probabilities.
These influences indicate exactly how much, and in which direction, each training example contributes to the predictions.
In the MIL task, each training example (called bag) is a set of feature vectors (called instances).
The regularization parameter C which control the trade-off between complexity and misclassified training example was set to (10^{5}).
This enables the direct application of ensemble training algorithms by simply using each segment as a training example.
As we take the whole performance as one training example, we have an acute lack of training data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com