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We discretized attributes alert_count, tgt_node_count and tgt_port_count into four different values in order to reduce the sensitiveness of the algorithm to the learning data.
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On the other hand, it reduces the sensitiveness of detecting boundary of repeats and increases the computing complexity and executive time.
In our scheme, two solutions from the perspective of texture description model and quantization algorithm have been developed to reduce the feature׳s noise sensitiveness.
reduce the unemployment rate.
They reduce the risk.
reduce the deficit.
Reduce the screen brightness.
Then, reduce the heat.
Reduce the marinade.
Reduce the light.
Reduce the oven temperature.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com