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The role of risk degrees is to determine the way of exploiting the unlabeled data.
Unlabeled data with large risk degrees should be exploited by SL and others by SSL.
We assign different risk degrees to unlabeled data according to the different characteristics in supervised and semi-supervised learning.
Our motivation is that unlabeled data may be risky in SSL and the risk degrees are different.
Choi and Ahn (2010) proposed a risk analysis model to determine the risk degrees of the risk factors occurring in PD process.
While the previously proposed S3L methods considered the risk of unlabeled data, they did not explicitly model the different risk degrees of unlabeled data on the learning procedure.
Similar(49)
The risk degree of DCTV is determined by the multiplication of the above four parameters after data standardization.
Nonetheless, the correct DCP risk degree can be set by changing the alert threshold for each sensor unit.
By using moment function to calculate the value characteristics, the final risk degree of project-chain is calculated.
The definition of components maintenance priority balances three factors: components importance to system, risk degree, and detection difficulty.
For a given basin, this value is obtained on the basis of a statistical risk degree arbitrarily chosen.
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